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How to Write a Research Paper: the LEAP approach (+cheat sheet)

In this article I will show you how to write a research paper using the four LEAP writing steps. The LEAP academic writing approach is a step-by-step method for turning research results into a published paper .

The LEAP writing approach has been the cornerstone of the 70 + research papers that I have authored and the 3700+ citations these paper have accumulated within 9 years since the completion of my PhD. I hope the LEAP approach will help you just as much as it has helped me to make an real, tangible impact with my research.

What is the LEAP research paper writing approach?

I designed the LEAP writing approach not only for merely writing the papers. My goal with the writing system was to show young scientists how to first think about research results and then how to efficiently write each section of the research paper.

In other words, you will see how to write a research paper by first analyzing the results and then building a logical, persuasive arguments. In this way, instead of being afraid of writing research paper, you will be able to rely on the paper writing process to help you with what is the most demanding task in getting published – thinking.

The four research paper writing steps according to the LEAP approach:

I will show each of these steps in detail. And you will be able to download the LEAP cheat sheet for using with every paper you write.

But before I tell you how to efficiently write a research paper, I want to show you what is the problem with the way scientists typically write a research paper and why the LEAP approach is more efficient.

How scientists typically write a research paper (and why it isn’t efficient)

Writing a research paper can be tough, especially for a young scientist. Your reasoning needs to be persuasive and thorough enough to convince readers of your arguments. The description has to be derived from research evidence, from prior art, and from your own judgment. This is a tough feat to accomplish.

The figure below shows the sequence of the different parts of a typical research paper. Depending on the scientific journal, some sections might be merged or nonexistent, but the general outline of a research paper will remain very similar.

Here is the problem: Most people make the mistake of writing in this same sequence.

While the structure of scientific articles is designed to help the reader follow the research, it does little to help the scientist write the paper. This is because the layout of research articles starts with the broad (introduction) and narrows down to the specifics (results). See in the figure below how the research paper is structured in terms of the breath of information that each section entails.

How to write a research paper according to the LEAP approach

For a scientist, it is much easier to start writing a research paper with laying out the facts in the narrow sections (i.e. results), step back to describe them (i.e. write the discussion), and step back again to explain the broader picture in the introduction.

For example, it might feel intimidating to start writing a research paper by explaining your research’s global significance in the introduction, while it is easy to plot the figures in the results. When plotting the results, there is not much room for wiggle: the results are what they are.

Starting to write a research papers from the results is also more fun because you finally get to see and understand the complete picture of the research that you have worked on.

Most importantly, following the LEAP approach will help you first make sense of the results yourself and then clearly communicate them to the readers. That is because the sequence of writing allows you to slowly understand the meaning of the results and then develop arguments for presenting to your readers.

I have personally been able to write and submit a research article in three short days using this method.

Step 1: Lay Out the Facts

You have worked long hours on a research project that has produced results and are no doubt curious to determine what they exactly mean. There is no better way to do this than by preparing figures, graphics and tables. This is what the first LEAP step is focused on – diving into the results.

How to p repare charts and tables for a research paper

Your first task is to try out different ways of visually demonstrating the research results. In many fields, the central items of a journal paper will be charts that are based on the data generated during research. In other fields, these might be conceptual diagrams, microscopy images, schematics and a number of other types of scientific graphics which should visually communicate the research study and its results to the readers. If you have reasonably small number of data points, data tables might be useful as well.

Tips for preparing charts and tables

• Try multiple chart types but in the finished paper only use the one that best conveys the message you want to present to the readers
• Follow the eight chart design progressions for selecting and refining a data chart for your paper: https://peerrecognized.com/chart-progressions
• Prepare scientific graphics and visualizations for your paper using the scientific graphic design cheat sheet: https://peerrecognized.com/tools-for-creating-scientific-illustrations/

How to describe the results of your research

Now that you have your data charts, graphics and tables laid out in front of you – describe what you see in them. Seek to answer the question: What have I found?  Your statements should progress in a logical sequence and be backed by the visual information. Since, at this point, you are simply explaining what everyone should be able to see for themselves, you can use a declarative tone: The figure X demonstrates that…

Tips for describing the research results :

• Answer the question: “ What have I found? “
• Use declarative tone since you are simply describing observations

Step 2: Explain the results

The core aspect of your research paper is not actually the results; it is the explanation of their meaning. In the second LEAP step, you will do some heavy lifting by guiding the readers through the results using logic backed by previous scientific research.

How to define the Message of a research paper

To define the central message of your research paper, imagine how you would explain your research to a colleague in 20 seconds . If you succeed in effectively communicating your paper’s message, a reader should be able to recount your findings in a similarly concise way even a year after reading it. This clarity will increase the chances that someone uses the knowledge you generated, which in turn raises the likelihood of citations to your research paper. 

Tips for defining the paper’s central message :

• Write the paper’s core message in a single sentence or two bullet points
• Write the core message in the header of the research paper manuscript

How to write the Discussion section of a research paper

In the discussion section you have to demonstrate why your research paper is worthy of publishing. In other words, you must now answer the all-important So what? question . How well you do so will ultimately define the success of your research paper.

Here are three steps to get started with writing the discussion section:

• Write bullet points of the things that convey the central message of the research article (these may evolve into subheadings later on).
• Make a list with the arguments or observations that support each idea.
• Finally, expand on each point to make full sentences and paragraphs.

Tips for writing the discussion section:

• What is the meaning of the results?
• Was the hypothesis confirmed?
• Write bullet points that support the core message
• List logical arguments for each bullet point, group them into sections
• Instead of repeating research timeline, use a presentation sequence that best supports your logic
• Convert arguments to full paragraphs; be confident but do not overhype
• Refer to both supportive and contradicting research papers for maximum credibility

How to write the Conclusions of a research paper

Since some readers might just skim through your research paper and turn directly to the conclusions, it is a good idea to make conclusion a standalone piece. In the first few sentences of the conclusions, briefly summarize the methodology and try to avoid using abbreviations (if you do, explain what they mean).

After this introduction, summarize the findings from the discussion section. Either paragraph style or bullet-point style conclusions can be used. I prefer the bullet-point style because it clearly separates the different conclusions and provides an easy-to-digest overview for the casual browser. It also forces me to be more succinct.

Tips for writing the conclusion section :

• Summarize the key findings, starting with the most important one
• Make conclusions standalone (short summary, avoid abbreviations)
• Add an optional take-home message and suggest future research in the last paragraph

How to refine the Objective of a research paper

The objective is a short, clear statement defining the paper’s research goals. It can be included either in the final paragraph of the introduction, or as a separate subsection after the introduction. Avoid writing long paragraphs with in-depth reasoning, references, and explanation of methodology since these belong in other sections. The paper’s objective can often be written in a single crisp sentence.

Tips for writing the objective section :

• The objective should ask the question that is answered by the central message of the research paper
• The research objective should be clear long before writing a paper. At this point, you are simply refining it to make sure it is addressed in the body of the paper.

How to write the Methodology section of your research paper

When writing the methodology section, aim for a depth of explanation that will allow readers to reproduce the study . This means that if you are using a novel method, you will have to describe it thoroughly. If, on the other hand, you applied a standardized method, or used an approach from another paper, it will be enough to briefly describe it with reference to the detailed original source.

Remember to also detail the research population, mention how you ensured representative sampling, and elaborate on what statistical methods you used to analyze the results.

Tips for writing the methodology section :

• Include enough detail to allow reproducing the research
• Provide references if the methods are known
• Create a methodology flow chart to add clarity
• Describe the research population, sampling methodology, statistical methods for result analysis
• Describe what methodology, test methods, materials, and sample groups were used in the research.

Step 3: Advertize the research

Step 3 of the LEAP writing approach is designed to entice the casual browser into reading your research paper. This advertising can be done with an informative title, an intriguing abstract, as well as a thorough explanation of the underlying need for doing the research within the introduction.

How to write the Introduction of a research paper

The introduction section should leave no doubt in the mind of the reader that what you are doing is important and that this work could push scientific knowledge forward. To do this convincingly, you will need to have a good knowledge of what is state-of-the-art in your field. You also need be able to see the bigger picture in order to demonstrate the potential impacts of your research work.

Think of the introduction as a funnel, going from wide to narrow, as shown in the figure below:

• Start with a brief context to explain what do we already know,
• Follow with the motivation for the research study and explain why should we care about it,
• Explain the research gap you are going to bridge within this research paper,
• Describe the approach you will take to solve the problem.

Tips for writing the introduction section :

• Follow the Context – Motivation – Research gap – Approach funnel for writing the introduction
• Explain how others tried and how you plan to solve the research problem
• Do a thorough literature review before writing the introduction
• Start writing the introduction by using your own words, then add references from the literature

How to prepare the Abstract of a research paper

The abstract acts as your paper’s elevator pitch and is therefore best written only after the main text is finished. In this one short paragraph you must convince someone to take on the time-consuming task of reading your whole research article. So, make the paper easy to read, intriguing, and self-explanatory; avoid jargon and abbreviations.

How to structure the abstract of a research paper:

• The abstract is a single paragraph that follows this structure:
• Problem: why did we research this
• Methodology: typically starts with the words “Here we…” that signal the start of own contribution.
• Results: what we found from the research.
• Conclusions: show why are the findings important

How to compose a research paper Title

The title is the ultimate summary of a research paper. It must therefore entice someone looking for information to click on a link to it and continue reading the article. A title is also used for indexing purposes in scientific databases, so a representative and optimized title will play large role in determining if your research paper appears in search results at all.

Tips for coming up with a research paper title:

• Capture curiosity of potential readers using a clear and descriptive title
• Include broad terms that are often searched
• Add details that uniquely identify the researched subject of your research paper
• Avoid jargon and abbreviations
• Use keywords as title extension (instead of duplicating the words) to increase the chance of appearing in search results

How to prepare Highlights and Graphical Abstract

Highlights are three to five short bullet-point style statements that convey the core findings of the research paper. Notice that the focus is on the findings, not on the process of getting there.

A graphical abstract placed next to the textual abstract visually summarizes the entire research paper in a single, easy-to-follow figure. I show how to create a graphical abstract in my book Research Data Visualization and Scientific Graphics.

Tips for preparing highlights and graphical abstract:

• In highlights show core findings of the research paper (instead of what you did in the study).
• In graphical abstract show take-home message or methodology of the research paper. Learn more about creating a graphical abstract in this article.

Step 4: Prepare for submission

Sometimes it seems that nuclear fusion will stop on the star closest to us (read: the sun will stop to shine) before a submitted manuscript is published in a scientific journal. The publication process routinely takes a long time, and after submitting the manuscript you have very little control over what happens. To increase the chances of a quick publication, you must do your homework before submitting the manuscript. In the fourth LEAP step, you make sure that your research paper is published in the most appropriate journal as quickly and painlessly as possible.

How to select a scientific Journal for your research paper

The best way to find a journal for your research paper is it to review which journals you used while preparing your manuscript. This source listing should provide some assurance that your own research paper, once published, will be among similar articles and, thus, among your field’s trusted sources.

After this initial selection of hand-full of scientific journals, consider the following six parameters for selecting the most appropriate journal for your research paper (read this article to review each step in detail):

• Scope and publishing history
• Ranking and Recognition
• Publishing time
• Acceptance rate
• Content requirements
• Access and Fees

How to select a journal for your research paper:

• Use the six parameters to select the most appropriate scientific journal for your research paper
• Use the following tools for journal selection: https://peerrecognized.com/journals
• Follow the journal’s “Authors guide” formatting requirements

How to Edit you manuscript

No one can write a finished research paper on their first attempt. Before submitting, make sure to take a break from your work for a couple of days, or even weeks. Try not to think about the manuscript during this time. Once it has faded from your memory, it is time to return and edit. The pause will allow you to read the manuscript from a fresh perspective and make edits as necessary.

I have summarized the most useful research paper editing tools in this article.

Tips for editing a research paper:

• Take time away from the research paper to forget about it; then returning to edit,
• Start by editing the content: structure, headings, paragraphs, logic, figures
• Continue by editing the grammar and language; perform a thorough language check using academic writing tools
• Read the entire paper out loud and correct what sounds weird

How to write a compelling Cover Letter for your paper

Begin the cover letter by stating the paper’s title and the type of paper you are submitting (review paper, research paper, short communication). Next, concisely explain why your study was performed, what was done, and what the key findings are. State why the results are important and what impact they might have in the field. Make sure you mention how your approach and findings relate to the scope of the journal in order to show why the article would be of interest to the journal’s readers.

I wrote a separate article that explains what to include in a cover letter here. You can also download a cover letter template from the article.

Tips for writing a cover letter:

• Explain how the findings of your research relate to journal’s scope
• Tell what impact the research results will have
• Show why the research paper will interest the journal’s audience
• Add any legal statements as required in journal’s guide for authors

How to Answer the Reviewers

Reviewers will often ask for new experiments, extended discussion, additional details on the experimental setup, and so forth. In principle, your primary winning tactic will be to agree with the reviewers and follow their suggestions whenever possible. After all, you must earn their blessing in order to get your paper published.

Be sure to answer each review query and stick to the point. In the response to the reviewers document write exactly where in the paper you have made any changes. In the paper itself, highlight the changes using a different color. This way the reviewers are less likely to re-read the entire article and suggest new edits.

In cases when you don’t agree with the reviewers, it makes sense to answer more thoroughly. Reviewers are scientifically minded people and so, with enough logical and supported argument, they will eventually be willing to see things your way.

Tips for answering the reviewers:

• Agree with most review comments, but if you don’t, thoroughly explain why
• Highlight changes in the manuscript
• Do not take the comments personally and cool down before answering

The LEAP research paper writing cheat sheet

Imagine that you are back in grad school and preparing to take an exam on the topic: “How to write a research paper”. As an exemplary student, you would, most naturally, create a cheat sheet summarizing the subject… Well, I did it for you.

This one-page summary of the LEAP research paper writing technique will remind you of the key research paper writing steps. Print it out and stick it to a wall in your office so that you can review it whenever you are writing a new research paper.

Now that we have gone through the four LEAP research paper writing steps, I hope you have a good idea of how to write a research paper. It can be an enjoyable process and once you get the hang of it, the four LEAP writing steps should even help you think about and interpret the research results. This process should enable you to write a well-structured, concise, and compelling research paper.

Have fund with writing your next research paper. I hope it will turn out great!

Learn writing papers that get cited

The LEAP writing approach is a blueprint for writing research papers. But to be efficient and write papers that get cited, you need more than that.

My name is Martins Zaumanis and in my interactive course Research Paper Writing Masterclass I will show you how to  visualize  your research results,  frame a message  that convinces your readers, and write  each section  of the paper. Step-by-step.

And of course – you will learn to respond the infamous  Reviewer No.2.

Hey! My name is Martins Zaumanis and I am a materials scientist in Switzerland ( Google Scholar ). As the first person in my family with a PhD, I have first-hand experience of the challenges starting scientists face in academia. With this blog, I want to help young researchers succeed in academia. I call the blog “Peer Recognized”, because peer recognition is what lifts academic careers and pushes science forward.

Besides this blog, I have written the Peer Recognized book series and created the Peer Recognized Academy offering interactive online courses.

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How to Write a Research Paper Introduction (with Examples)

The research paper introduction section, along with the Title and Abstract, can be considered the face of any research paper. The following article is intended to guide you in organizing and writing the research paper introduction for a quality academic article or dissertation.

The research paper introduction aims to present the topic to the reader. A study will only be accepted for publishing if you can ascertain that the available literature cannot answer your research question. So it is important to ensure that you have read important studies on that particular topic, especially those within the last five to ten years, and that they are properly referenced in this section. 1 What should be included in the research paper introduction is decided by what you want to tell readers about the reason behind the research and how you plan to fill the knowledge gap. The best research paper introduction provides a systemic review of existing work and demonstrates additional work that needs to be done. It needs to be brief, captivating, and well-referenced; a well-drafted research paper introduction will help the researcher win half the battle.

The introduction for a research paper is where you set up your topic and approach for the reader. It has several key goals:

• Present your research topic
• Capture reader interest
• Summarize existing research
• Position your own approach
• Define your specific research problem and problem statement
• Highlight the novelty and contributions of the study
• Give an overview of the paper’s structure

The research paper introduction can vary in size and structure depending on whether your paper presents the results of original empirical research or is a review paper. Some research paper introduction examples are only half a page while others are a few pages long. In many cases, the introduction will be shorter than all of the other sections of your paper; its length depends on the size of your paper as a whole.

Break through writer’s block. Write your research paper introduction with Paperpal’s Generative AI features

Table of Contents

What is the introduction for a research paper, what are the parts of introduction in the research, 1. introduce the research topic:, 2. determine a research niche:, 3. place your research within the research niche:, how to use paperpal to write the introduction section, frequently asked questions on research paper introduction, key points to remember.

The introduction in a research paper is placed at the beginning to guide the reader from a broad subject area to the specific topic that your research addresses. They present the following information to the reader

• Scope: The topic covered in the research paper
• Context: Background of your topic
• Importance: Why your research matters in that particular area of research and the industry problem that can be targeted

Why is the introduction important in a research paper?

The research paper introduction conveys a lot of information and can be considered an essential roadmap for the rest of your paper. A good introduction for a research paper is important for the following reasons:

• It stimulates your reader’s interest: A good introduction section can make your readers want to read your paper by capturing their interest. It informs the reader what they are going to learn and helps determine if the topic is of interest to them.
• It helps the reader understand the research background: Without a clear introduction, your readers may feel confused and even struggle when reading your paper. A good research paper introduction will prepare them for the in-depth research to come. It provides you the opportunity to engage with the readers and demonstrate your knowledge and authority on the specific topic.
• It explains why your research paper is worth reading: Your introduction can convey a lot of information to your readers. It introduces the topic, why the topic is important, and how you plan to proceed with your research.
• It helps guide the reader through the rest of the paper: The research paper introduction gives the reader a sense of the nature of the information that will support your arguments and the general organization of the paragraphs that will follow. It offers an overview of what to expect when reading the main body of your paper.

A good research paper introduction section should comprise three main elements: 2

• What is known: This sets the stage for your research. It informs the readers of what is known on the subject.
• What is lacking: This is aimed at justifying the reason for carrying out your research. This could involve investigating a new concept or method or building upon previous research.
• What you aim to do: This part briefly states the objectives of your research and its major contributions. Your detailed hypothesis will also form a part of this section.

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How to write a research paper introduction?

The first step in writing the research paper introduction is to inform the reader what your topic is and why it’s interesting or important. This is generally accomplished with a strong opening statement. The second step involves establishing the kinds of research that have been done and ending with limitations or gaps in the research that you intend to address. Finally, the research paper introduction clarifies how your own research fits in and what problem it addresses. If your research involved testing hypotheses, these should be stated along with your research question. The hypothesis should be presented in the past tense since it will have been tested by the time you are writing the research paper introduction.

The following key points, with examples, can guide you when writing the research paper introduction section:

• Highlight the importance of the research field or topic
• Describe the background of the topic
• Present an overview of current research on the topic

Example: The inclusion of experiential and competency-based learning has benefitted electronics engineering education. Industry partnerships provide an excellent alternative for students wanting to engage in solving real-world challenges. Industry-academia participation has grown in recent years due to the need for skilled engineers with practical training and specialized expertise. However, from the educational perspective, many activities are needed to incorporate sustainable development goals into the university curricula and consolidate learning innovation in universities.

• Reveal a gap in existing research or oppose an existing assumption
• Formulate the research question

Example: There have been plausible efforts to integrate educational activities in higher education electronics engineering programs. However, very few studies have considered using educational research methods for performance evaluation of competency-based higher engineering education, with a focus on technical and or transversal skills. To remedy the current need for evaluating competencies in STEM fields and providing sustainable development goals in engineering education, in this study, a comparison was drawn between study groups without and with industry partners.

• State the purpose of your study
• Highlight the key characteristics of your study
• Describe important results
• Highlight the novelty of the study.
• Offer a brief overview of the structure of the paper.

Example: The study evaluates the main competency needed in the applied electronics course, which is a fundamental core subject for many electronics engineering undergraduate programs. We compared two groups, without and with an industrial partner, that offered real-world projects to solve during the semester. This comparison can help determine significant differences in both groups in terms of developing subject competency and achieving sustainable development goals.

Write a Research Paper Introduction in Minutes with Paperpal

Paperpal is a generative AI-powered academic writing assistant. It’s trained on millions of published scholarly articles and over 20 years of STM experience. Paperpal helps authors write better and faster with:

• Real-time writing suggestions
• In-depth checks for language and grammar correction
• Paraphrasing to add variety, ensure academic tone, and trim text to meet journal limits

With Paperpal, create a research paper introduction effortlessly. In this step-by-step guide, we’ll walk you through how Paperpal transforms your initial ideas into a polished and publication-ready introduction.

Step 1: Sign up on Paperpal and click on the Copilot feature, under this choose Outlines > Research Article > Introduction

Step 2: Add your unstructured notes or initial draft, whether in English or another language, to Paperpal, which is to be used as the base for your content.

Step 3: Fill in the specifics, such as your field of study, brief description or details you want to include, which will help the AI generate the outline for your Introduction.

Step 4: Use this outline and sentence suggestions to develop your content, adding citations where needed and modifying it to align with your specific research focus.

Step 5: Turn to Paperpal’s granular language checks to refine your content, tailor it to reflect your personal writing style, and ensure it effectively conveys your message.

You can use the same process to develop each section of your article, and finally your research paper in half the time and without any of the stress.

Craft accurate research paper introductions with Paperpal. Start writing now!

The purpose of the research paper introduction is to introduce the reader to the problem definition, justify the need for the study, and describe the main theme of the study. The aim is to gain the reader’s attention by providing them with necessary background information and establishing the main purpose and direction of the research.

The length of the research paper introduction can vary across journals and disciplines. While there are no strict word limits for writing the research paper introduction, an ideal length would be one page, with a maximum of 400 words over 1-4 paragraphs. Generally, it is one of the shorter sections of the paper as the reader is assumed to have at least a reasonable knowledge about the topic. 2 For example, for a study evaluating the role of building design in ensuring fire safety, there is no need to discuss definitions and nature of fire in the introduction; you could start by commenting upon the existing practices for fire safety and how your study will add to the existing knowledge and practice.

When deciding what to include in the research paper introduction, the rest of the paper should also be considered. The aim is to introduce the reader smoothly to the topic and facilitate an easy read without much dependency on external sources. 3 Below is a list of elements you can include to prepare a research paper introduction outline and follow it when you are writing the research paper introduction. Topic introduction: This can include key definitions and a brief history of the topic. Research context and background: Offer the readers some general information and then narrow it down to specific aspects. Details of the research you conducted: A brief literature review can be included to support your arguments or line of thought. Rationale for the study: This establishes the relevance of your study and establishes its importance. Importance of your research: The main contributions are highlighted to help establish the novelty of your study Research hypothesis: Introduce your research question and propose an expected outcome. Organization of the paper: Include a short paragraph of 3-4 sentences that highlights your plan for the entire paper

Cite only works that are most relevant to your topic; as a general rule, you can include one to three. Note that readers want to see evidence of original thinking. So it is better to avoid using too many references as it does not leave much room for your personal standpoint to shine through. Citations in your research paper introduction support the key points, and the number of citations depend on the subject matter and the point discussed. If the research paper introduction is too long or overflowing with citations, it is better to cite a few review articles rather than the individual articles summarized in the review. A good point to remember when citing research papers in the introduction section is to include at least one-third of the references in the introduction.

The literature review plays a significant role in the research paper introduction section. A good literature review accomplishes the following: Introduces the topic – Establishes the study’s significance – Provides an overview of the relevant literature – Provides context for the study using literature – Identifies knowledge gaps However, remember to avoid making the following mistakes when writing a research paper introduction: Do not use studies from the literature review to aggressively support your research Avoid direct quoting Do not allow literature review to be the focus of this section. Instead, the literature review should only aid in setting a foundation for the manuscript.

Remember the following key points for writing a good research paper introduction: 4

• Avoid stuffing too much general information: Avoid including what an average reader would know and include only that information related to the problem being addressed in the research paper introduction. For example, when describing a comparative study of non-traditional methods for mechanical design optimization, information related to the traditional methods and differences between traditional and non-traditional methods would not be relevant. In this case, the introduction for the research paper should begin with the state-of-the-art non-traditional methods and methods to evaluate the efficiency of newly developed algorithms.
• Avoid packing too many references: Cite only the required works in your research paper introduction. The other works can be included in the discussion section to strengthen your findings.
• Avoid extensive criticism of previous studies: Avoid being overly critical of earlier studies while setting the rationale for your study. A better place for this would be the Discussion section, where you can highlight the advantages of your method.
• Avoid describing conclusions of the study: When writing a research paper introduction remember not to include the findings of your study. The aim is to let the readers know what question is being answered. The actual answer should only be given in the Results and Discussion section.

To summarize, the research paper introduction section should be brief yet informative. It should convince the reader the need to conduct the study and motivate him to read further. If you’re feeling stuck or unsure, choose trusted AI academic writing assistants like Paperpal to effortlessly craft your research paper introduction and other sections of your research article.

1. Jawaid, S. A., & Jawaid, M. (2019). How to write introduction and discussion. Saudi Journal of Anaesthesia, 13(Suppl 1), S18.

2. Dewan, P., & Gupta, P. (2016). Writing the title, abstract and introduction: Looks matter!. Indian pediatrics, 53, 235-241.

3. Cetin, S., & Hackam, D. J. (2005). An approach to the writing of a scientific Manuscript1. Journal of Surgical Research, 128(2), 165-167.

4. Bavdekar, S. B. (2015). Writing introduction: Laying the foundations of a research paper. Journal of the Association of Physicians of India, 63(7), 44-6.

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• How to write a research paper

Last updated

11 January 2024

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With proper planning, knowledge, and framework, completing a research paper can be a fulfilling and exciting experience. 

Though it might initially sound slightly intimidating, this guide will help you embrace the challenge. 

By documenting your findings, you can inspire others and make a difference in your field. Here's how you can make your research paper unique and comprehensive.

• What is a research paper?

Research papers allow you to demonstrate your knowledge and understanding of a particular topic. These papers are usually lengthier and more detailed than typical essays, requiring deeper insight into the chosen topic.

To write a research paper, you must first choose a topic that interests you and is relevant to the field of study. Once you’ve selected your topic, gathering as many relevant resources as possible, including books, scholarly articles, credible websites, and other academic materials, is essential. You must then read and analyze these sources, summarizing their key points and identifying gaps in the current research.

You can formulate your ideas and opinions once you thoroughly understand the existing research. To get there might involve conducting original research, gathering data, or analyzing existing data sets. It could also involve presenting an original argument or interpretation of the existing research.

Writing a successful research paper involves presenting your findings clearly and engagingly, which might involve using charts, graphs, or other visual aids to present your data and using concise language to explain your findings. You must also ensure your paper adheres to relevant academic formatting guidelines, including proper citations and references.

Overall, writing a research paper requires a significant amount of time, effort, and attention to detail. However, it is also an enriching experience that allows you to delve deeply into a subject that interests you and contribute to the existing body of knowledge in your chosen field.

• How long should a research paper be?

Research papers are deep dives into a topic. Therefore, they tend to be longer pieces of work than essays or opinion pieces. 

However, a suitable length depends on the complexity of the topic and your level of expertise. For instance, are you a first-year college student or an experienced professional? 

Also, remember that the best research papers provide valuable information for the benefit of others. Therefore, the quality of information matters most, not necessarily the length. Being concise is valuable.

Following these best practice steps will help keep your process simple and productive:

1. Gaining a deep understanding of any expectations

Before diving into your intended topic or beginning the research phase, take some time to orient yourself. Suppose there’s a specific topic assigned to you. In that case, it’s essential to deeply understand the question and organize your planning and approach in response. Pay attention to the key requirements and ensure you align your writing accordingly. 

This preparation step entails

Deeply understanding the task or assignment

Being clear about the expected format and length

Familiarizing yourself with the citation and referencing requirements 

Understanding any defined limits for your research contribution

Where applicable, speaking to your professor or research supervisor for further clarification

2. Choose your research topic

Select a research topic that aligns with both your interests and available resources. Ideally, focus on a field where you possess significant experience and analytical skills. In crafting your research paper, it's crucial to go beyond summarizing existing data and contribute fresh insights to the chosen area.

Consider narrowing your focus to a specific aspect of the topic. For example, if exploring the link between technology and mental health, delve into how social media use during the pandemic impacts the well-being of college students. Conducting interviews and surveys with students could provide firsthand data and unique perspectives, adding substantial value to the existing knowledge.

When finalizing your topic, adhere to legal and ethical norms in the relevant area (this ensures the integrity of your research, protects participants' rights, upholds intellectual property standards, and ensures transparency and accountability). Following these principles not only maintains the credibility of your work but also builds trust within your academic or professional community.

For instance, in writing about medical research, consider legal and ethical norms , including patient confidentiality laws and informed consent requirements. Similarly, if analyzing user data on social media platforms, be mindful of data privacy regulations, ensuring compliance with laws governing personal information collection and use. Aligning with legal and ethical standards not only avoids potential issues but also underscores the responsible conduct of your research.

3. Gather preliminary research

Once you’ve landed on your topic, it’s time to explore it further. You’ll want to discover more about available resources and existing research relevant to your assignment at this stage. 

This exploratory phase is vital as you may discover issues with your original idea or realize you have insufficient resources to explore the topic effectively. This key bit of groundwork allows you to redirect your research topic in a different, more feasible, or more relevant direction if necessary. 

Spending ample time at this stage ensures you gather everything you need, learn as much as you can about the topic, and discover gaps where the topic has yet to be sufficiently covered, offering an opportunity to research it further. 

4. Define your research question

To produce a well-structured and focused paper, it is imperative to formulate a clear and precise research question that will guide your work. Your research question must be informed by the existing literature and tailored to the scope and objectives of your project. By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers.

5. Write a thesis statement

A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction. It serves as an overall guide to summarize the overall intent of the research paper for you and anyone wanting to know more about the research.

A strong thesis statement is:

Concise and clear: Explain your case in simple sentences (avoid covering multiple ideas). It might help to think of this section as an elevator pitch.

Specific: Ensure that there is no ambiguity in your statement and that your summary covers the points argued in the paper.

Debatable: A thesis statement puts forward a specific argument––it is not merely a statement but a debatable point that can be analyzed and discussed.

Here are three thesis statement examples from different disciplines:

Psychology thesis example: "We're studying adults aged 25-40 to see if taking short breaks for mindfulness can help with stress. Our goal is to find practical ways to manage anxiety better."

Environmental science thesis example: "This research paper looks into how having more city parks might make the air cleaner and keep people healthier. I want to find out if more green spaces means breathing fewer carcinogens in big cities."

UX research thesis example: "This study focuses on improving mobile banking for older adults using ethnographic research, eye-tracking analysis, and interactive prototyping. We investigate the usefulness of eye-tracking analysis with older individuals, aiming to spark debate and offer fresh perspectives on UX design and digital inclusivity for the aging population."

6. Conduct in-depth research

A research paper doesn’t just include research that you’ve uncovered from other papers and studies but your fresh insights, too. You will seek to become an expert on your topic––understanding the nuances in the current leading theories. You will analyze existing research and add your thinking and discoveries.  It's crucial to conduct well-designed research that is rigorous, robust, and based on reliable sources. Suppose a research paper lacks evidence or is biased. In that case, it won't benefit the academic community or the general public. Therefore, examining the topic thoroughly and furthering its understanding through high-quality research is essential. That usually means conducting new research. Depending on the area under investigation, you may conduct surveys, interviews, diary studies , or observational research to uncover new insights or bolster current claims.

7. Determine supporting evidence

Not every piece of research you’ve discovered will be relevant to your research paper. It’s important to categorize the most meaningful evidence to include alongside your discoveries. It's important to include evidence that doesn't support your claims to avoid exclusion bias and ensure a fair research paper.

8. Write a research paper outline

Before diving in and writing the whole paper, start with an outline. It will help you to see if more research is needed, and it will provide a framework by which to write a more compelling paper. Your supervisor may even request an outline to approve before beginning to write the first draft of the full paper. An outline will include your topic, thesis statement, key headings, short summaries of the research, and your arguments.

9. Write your first draft

Once you feel confident about your outline and sources, it’s time to write your first draft. While penning a long piece of content can be intimidating, if you’ve laid the groundwork, you will have a structure to help you move steadily through each section. To keep up motivation and inspiration, it’s often best to keep the pace quick. Stopping for long periods can interrupt your flow and make jumping back in harder than writing when things are fresh in your mind.

10. Cite your sources correctly

It's always a good practice to give credit where it's due, and the same goes for citing any works that have influenced your paper. Building your arguments on credible references adds value and authenticity to your research. In the formatting guidelines section, you’ll find an overview of different citation styles (MLA, CMOS, or APA), which will help you meet any publishing or academic requirements and strengthen your paper's credibility. It is essential to follow the guidelines provided by your school or the publication you are submitting to ensure the accuracy and relevance of your citations.

11. Ensure your work is original

It is crucial to ensure the originality of your paper, as plagiarism can lead to serious consequences. To avoid plagiarism, you should use proper paraphrasing and quoting techniques. Paraphrasing is rewriting a text in your own words while maintaining the original meaning. Quoting involves directly citing the source. Giving credit to the original author or source is essential whenever you borrow their ideas or words. You can also use plagiarism detection tools such as Scribbr or Grammarly to check the originality of your paper. These tools compare your draft writing to a vast database of online sources. If you find any accidental plagiarism, you should correct it immediately by rephrasing or citing the source.

12. Revise, edit, and proofread

One of the essential qualities of excellent writers is their ability to understand the importance of editing and proofreading. Even though it's tempting to call it a day once you've finished your writing, editing your work can significantly improve its quality. It's natural to overlook the weaker areas when you've just finished writing a paper. Therefore, it's best to take a break of a day or two, or even up to a week, to refresh your mind. This way, you can return to your work with a new perspective. After some breathing room, you can spot any inconsistencies, spelling and grammar errors, typos, or missing citations and correct them. 

• The best research paper format 

The format of your research paper should align with the requirements set forth by your college, school, or target publication. 

There is no one “best” format, per se. Depending on the stated requirements, you may need to include the following elements:

Title page: The title page of a research paper typically includes the title, author's name, and institutional affiliation and may include additional information such as a course name or instructor's name. 

Table of contents: Include a table of contents to make it easy for readers to find specific sections of your paper.

Abstract: The abstract is a summary of the purpose of the paper.

Methods : In this section, describe the research methods used. This may include collecting data , conducting interviews, or doing field research .

Results: Summarize the conclusions you drew from your research in this section.

Discussion: In this section, discuss the implications of your research . Be sure to mention any significant limitations to your approach and suggest areas for further research.

Tables, charts, and illustrations: Use tables, charts, and illustrations to help convey your research findings and make them easier to understand.

Works cited or reference page: Include a works cited or reference page to give credit to the sources that you used to conduct your research.

Bibliography: Provide a list of all the sources you consulted while conducting your research.

Dedication and acknowledgments : Optionally, you may include a dedication and acknowledgments section to thank individuals who helped you with your research.

• General style and formatting guidelines

Formatting your research paper means you can submit it to your college, journal, or other publications in compliance with their criteria.

Research papers tend to follow the American Psychological Association (APA), Modern Language Association (MLA), or Chicago Manual of Style (CMOS) guidelines.

Here’s how each style guide is typically used:

Chicago Manual of Style (CMOS):

CMOS is a versatile style guide used for various types of writing. It's known for its flexibility and use in the humanities. CMOS provides guidelines for citations, formatting, and overall writing style. It allows for both footnotes and in-text citations, giving writers options based on their preferences or publication requirements.

American Psychological Association (APA):

APA is common in the social sciences. It’s hailed for its clarity and emphasis on precision. It has specific rules for citing sources, creating references, and formatting papers. APA style uses in-text citations with an accompanying reference list. It's designed to convey information efficiently and is widely used in academic and scientific writing.

Modern Language Association (MLA):

MLA is widely used in the humanities, especially literature and language studies. It emphasizes the author-page format for in-text citations and provides guidelines for creating a "Works Cited" page. MLA is known for its focus on the author's name and the literary works cited. It’s frequently used in disciplines that prioritize literary analysis and critical thinking.

To confirm you're using the latest style guide, check the official website or publisher's site for updates, consult academic resources, and verify the guide's publication date. Online platforms and educational resources may also provide summaries and alerts about any revisions or additions to the style guide.

Citing sources

When working on your research paper, it's important to cite the sources you used properly. Your citation style will guide you through this process. Generally, there are three parts to citing sources in your research paper: 

First, provide a brief citation in the body of your essay. This is also known as a parenthetical or in-text citation. 

Second, include a full citation in the Reference list at the end of your paper. Different types of citations include in-text citations, footnotes, and reference lists. 

In-text citations include the author's surname and the date of the citation. 

Footnotes appear at the bottom of each page of your research paper. They may also be summarized within a reference list at the end of the paper. 

A reference list includes all of the research used within the paper at the end of the document. It should include the author, date, paper title, and publisher listed in the order that aligns with your citation style.

10 research paper writing tips:

Following some best practices is essential to writing a research paper that contributes to your field of study and creates a positive impact.

These tactics will help you structure your argument effectively and ensure your work benefits others:

Clear and precise language:  Ensure your language is unambiguous. Use academic language appropriately, but keep it simple. Also, provide clear takeaways for your audience.

Effective idea separation:  Organize the vast amount of information and sources in your paper with paragraphs and titles. Create easily digestible sections for your readers to navigate through.

Compelling intro:  Craft an engaging introduction that captures your reader's interest. Hook your audience and motivate them to continue reading.

Thorough revision and editing:  Take the time to review and edit your paper comprehensively. Use tools like Grammarly to detect and correct small, overlooked errors.

Thesis precision:  Develop a clear and concise thesis statement that guides your paper. Ensure that your thesis aligns with your research's overall purpose and contribution.

Logical flow of ideas:  Maintain a logical progression throughout the paper. Use transitions effectively to connect different sections and maintain coherence.

Critical evaluation of sources:  Evaluate and critically assess the relevance and reliability of your sources. Ensure that your research is based on credible and up-to-date information.

Thematic consistency:  Maintain a consistent theme throughout the paper. Ensure that all sections contribute cohesively to the overall argument.

Relevant supporting evidence:  Provide concise and relevant evidence to support your arguments. Avoid unnecessary details that may distract from the main points.

Embrace counterarguments:  Acknowledge and address opposing views to strengthen your position. Show that you have considered alternative arguments in your field.

7 research tips 

If you want your paper to not only be well-written but also contribute to the progress of human knowledge, consider these tips to take your paper to the next level:

Selecting the appropriate topic: The topic you select should align with your area of expertise, comply with the requirements of your project, and have sufficient resources for a comprehensive investigation.

Use academic databases: Academic databases such as PubMed, Google Scholar, and JSTOR offer a wealth of research papers that can help you discover everything you need to know about your chosen topic.

Critically evaluate sources: It is important not to accept research findings at face value. Instead, it is crucial to critically analyze the information to avoid jumping to conclusions or overlooking important details. A well-written research paper requires a critical analysis with thorough reasoning to support claims.

Diversify your sources: Expand your research horizons by exploring a variety of sources beyond the standard databases. Utilize books, conference proceedings, and interviews to gather diverse perspectives and enrich your understanding of the topic.

Take detailed notes: Detailed note-taking is crucial during research and can help you form the outline and body of your paper.

Stay up on trends: Keep abreast of the latest developments in your field by regularly checking for recent publications. Subscribe to newsletters, follow relevant journals, and attend conferences to stay informed about emerging trends and advancements. 

Engage in peer review: Seek feedback from peers or mentors to ensure the rigor and validity of your research . Peer review helps identify potential weaknesses in your methodology and strengthens the overall credibility of your findings.

• The real-world impact of research papers

Writing a research paper is more than an academic or business exercise. The experience provides an opportunity to explore a subject in-depth, broaden one's understanding, and arrive at meaningful conclusions. With careful planning, dedication, and hard work, writing a research paper can be a fulfilling and enriching experience contributing to advancing knowledge.

How do I publish my research paper? 

Many academics wish to publish their research papers. While challenging, your paper might get traction if it covers new and well-written information. To publish your research paper, find a target publication, thoroughly read their guidelines, format your paper accordingly, and send it to them per their instructions. You may need to include a cover letter, too. After submission, your paper may be peer-reviewed by experts to assess its legitimacy, quality, originality, and methodology. Following review, you will be informed by the publication whether they have accepted or rejected your paper. 

What is a good opening sentence for a research paper? 

Beginning your research paper with a compelling introduction can ensure readers are interested in going further. A relevant quote, a compelling statistic, or a bold argument can start the paper and hook your reader. Remember, though, that the most important aspect of a research paper is the quality of the information––not necessarily your ability to storytell, so ensure anything you write aligns with your goals.

Research paper vs. a research proposal—what’s the difference?

While some may confuse research papers and proposals, they are different documents. 

A research proposal comes before a research paper. It is a detailed document that outlines an intended area of exploration. It includes the research topic, methodology, timeline, sources, and potential conclusions. Research proposals are often required when seeking approval to conduct research. 

A research paper is a summary of research findings. A research paper follows a structured format to present those findings and construct an argument or conclusion.

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How To Write A Research Paper

Step-By-Step Tutorial With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | March 2024

For many students, crafting a strong research paper from scratch can feel like a daunting task – and rightly so! In this post, we’ll unpack what a research paper is, what it needs to do , and how to write one – in three easy steps. 🙂 

Overview: Writing A Research Paper

What (exactly) is a research paper.

• How to write a research paper
• Stage 1 : Topic & literature search
• Stage 2 : Structure & outline
• Stage 3 : Iterative writing
• Key takeaways

Let’s start by asking the most important question, “ What is a research paper? ”.

Simply put, a research paper is a scholarly written work where the writer (that’s you!) answers a specific question (this is called a research question ) through evidence-based arguments . Evidence-based is the keyword here. In other words, a research paper is different from an essay or other writing assignments that draw from the writer’s personal opinions or experiences. With a research paper, it’s all about building your arguments based on evidence (we’ll talk more about that evidence a little later).

Now, it’s worth noting that there are many different types of research papers , including analytical papers (the type I just described), argumentative papers, and interpretative papers. Here, we’ll focus on analytical papers , as these are some of the most common – but if you’re keen to learn about other types of research papers, be sure to check out the rest of the blog .

With that basic foundation laid, let’s get down to business and look at how to write a research paper .

Overview: The 3-Stage Process

While there are, of course, many potential approaches you can take to write a research paper, there are typically three stages to the writing process. So, in this tutorial, we’ll present a straightforward three-step process that we use when working with students at Grad Coach.

These three steps are:

• Finding a research topic and reviewing the existing literature
• Developing a provisional structure and outline for your paper, and
• Writing up your initial draft and then refining it iteratively

Let’s dig into each of these.

Need a helping hand?

Step 1: Find a topic and review the literature

As we mentioned earlier, in a research paper, you, as the researcher, will try to answer a question . More specifically, that’s called a research question , and it sets the direction of your entire paper. What’s important to understand though is that you’ll need to answer that research question with the help of high-quality sources – for example, journal articles, government reports, case studies, and so on. We’ll circle back to this in a minute.

The first stage of the research process is deciding on what your research question will be and then reviewing the existing literature (in other words, past studies and papers) to see what they say about that specific research question. In some cases, your professor may provide you with a predetermined research question (or set of questions). However, in many cases, you’ll need to find your own research question within a certain topic area.

Finding a strong research question hinges on identifying a meaningful research gap – in other words, an area that’s lacking in existing research. There’s a lot to unpack here, so if you wanna learn more, check out the plain-language explainer video below.

Once you’ve figured out which question (or questions) you’ll attempt to answer in your research paper, you’ll need to do a deep dive into the existing literature – this is called a “ literature search ”. Again, there are many ways to go about this, but your most likely starting point will be Google Scholar .

If you’re new to Google Scholar, think of it as Google for the academic world. You can start by simply entering a few different keywords that are relevant to your research question and it will then present a host of articles for you to review. What you want to pay close attention to here is the number of citations for each paper – the more citations a paper has, the more credible it is (generally speaking – there are some exceptions, of course).

Ideally, what you’re looking for are well-cited papers that are highly relevant to your topic. That said, keep in mind that citations are a cumulative metric , so older papers will often have more citations than newer papers – just because they’ve been around for longer. So, don’t fixate on this metric in isolation – relevance and recency are also very important.

Beyond Google Scholar, you’ll also definitely want to check out academic databases and aggregators such as Science Direct, PubMed, JStor and so on. These will often overlap with the results that you find in Google Scholar, but they can also reveal some hidden gems – so, be sure to check them out.

Once you’ve worked your way through all the literature, you’ll want to catalogue all this information in some sort of spreadsheet so that you can easily recall who said what, when and within what context. If you’d like, we’ve got a free literature spreadsheet that helps you do exactly that.

Step 2: Develop a structure and outline

With your research question pinned down and your literature digested and catalogued, it’s time to move on to planning your actual research paper .

It might sound obvious, but it’s really important to have some sort of rough outline in place before you start writing your paper. So often, we see students eagerly rushing into the writing phase, only to land up with a disjointed research paper that rambles on in multiple

Now, the secret here is to not get caught up in the fine details . Realistically, all you need at this stage is a bullet-point list that describes (in broad strokes) what you’ll discuss and in what order. It’s also useful to remember that you’re not glued to this outline – in all likelihood, you’ll chop and change some sections once you start writing, and that’s perfectly okay. What’s important is that you have some sort of roadmap in place from the start.

At this stage you might be wondering, “ But how should I structure my research paper? ”. Well, there’s no one-size-fits-all solution here, but in general, a research paper will consist of a few relatively standardised components:

• Introduction
• Literature review
• Methodology

Let’s take a look at each of these.

First up is the introduction section . As the name suggests, the purpose of the introduction is to set the scene for your research paper. There are usually (at least) four ingredients that go into this section – these are the background to the topic, the research problem and resultant research question , and the justification or rationale. If you’re interested, the video below unpacks the introduction section in more detail. 

The next section of your research paper will typically be your literature review . Remember all that literature you worked through earlier? Well, this is where you’ll present your interpretation of all that content . You’ll do this by writing about recent trends, developments, and arguments within the literature – but more specifically, those that are relevant to your research question . The literature review can oftentimes seem a little daunting, even to seasoned researchers, so be sure to check out our extensive collection of literature review content here .

With the introduction and lit review out of the way, the next section of your paper is the research methodology . In a nutshell, the methodology section should describe to your reader what you did (beyond just reviewing the existing literature) to answer your research question. For example, what data did you collect, how did you collect that data, how did you analyse that data and so on? For each choice, you’ll also need to justify why you chose to do it that way, and what the strengths and weaknesses of your approach were.

Now, it’s worth mentioning that for some research papers, this aspect of the project may be a lot simpler . For example, you may only need to draw on secondary sources (in other words, existing data sets). In some cases, you may just be asked to draw your conclusions from the literature search itself (in other words, there may be no data analysis at all). But, if you are required to collect and analyse data, you’ll need to pay a lot of attention to the methodology section. The video below provides an example of what the methodology section might look like.

By this stage of your paper, you will have explained what your research question is, what the existing literature has to say about that question, and how you analysed additional data to try to answer your question. So, the natural next step is to present your analysis of that data . This section is usually called the “results” or “analysis” section and this is where you’ll showcase your findings.

Depending on your school’s requirements, you may need to present and interpret the data in one section – or you might split the presentation and the interpretation into two sections. In the latter case, your “results” section will just describe the data, and the “discussion” is where you’ll interpret that data and explicitly link your analysis back to your research question. If you’re not sure which approach to take, check in with your professor or take a look at past papers to see what the norms are for your programme.

Alright – once you’ve presented and discussed your results, it’s time to wrap it up . This usually takes the form of the “ conclusion ” section. In the conclusion, you’ll need to highlight the key takeaways from your study and close the loop by explicitly answering your research question. Again, the exact requirements here will vary depending on your programme (and you may not even need a conclusion section at all) – so be sure to check with your professor if you’re unsure.

Step 3: Write and refine

Finally, it’s time to get writing. All too often though, students hit a brick wall right about here… So, how do you avoid this happening to you?

Well, there’s a lot to be said when it comes to writing a research paper (or any sort of academic piece), but we’ll share three practical tips to help you get started.

First and foremost , it’s essential to approach your writing as an iterative process. In other words, you need to start with a really messy first draft and then polish it over multiple rounds of editing. Don’t waste your time trying to write a perfect research paper in one go. Instead, take the pressure off yourself by adopting an iterative approach.

Secondly , it’s important to always lean towards critical writing , rather than descriptive writing. What does this mean? Well, at the simplest level, descriptive writing focuses on the “ what ”, while critical writing digs into the “ so what ” – in other words, the implications . If you’re not familiar with these two types of writing, don’t worry! You can find a plain-language explanation here.

Last but not least, you’ll need to get your referencing right. Specifically, you’ll need to provide credible, correctly formatted citations for the statements you make. We see students making referencing mistakes all the time and it costs them dearly. The good news is that you can easily avoid this by using a simple reference manager . If you don’t have one, check out our video about Mendeley, an easy (and free) reference management tool that you can start using today.

Recap: Key Takeaways

We’ve covered a lot of ground here. To recap, the three steps to writing a high-quality research paper are:

• To choose a research question and review the literature
• To plan your paper structure and draft an outline
• To take an iterative approach to writing, focusing on critical writing and strong referencing

Remember, this is just a b ig-picture overview of the research paper development process and there’s a lot more nuance to unpack. So, be sure to grab a copy of our free research paper template to learn more about how to write a research paper.

Can you help me with a full paper template for this Abstract:

Background: Energy and sports drinks have gained popularity among diverse demographic groups, including adolescents, athletes, workers, and college students. While often used interchangeably, these beverages serve distinct purposes, with energy drinks aiming to boost energy and cognitive performance, and sports drinks designed to prevent dehydration and replenish electrolytes and carbohydrates lost during physical exertion.

Objective: To assess the nutritional quality of energy and sports drinks in Egypt.

Material and Methods: A cross-sectional study assessed the nutrient contents, including energy, sugar, electrolytes, vitamins, and caffeine, of sports and energy drinks available in major supermarkets in Cairo, Alexandria, and Giza, Egypt. Data collection involved photographing all relevant product labels and recording nutritional information. Descriptive statistics and appropriate statistical tests were employed to analyze and compare the nutritional values of energy and sports drinks.

Results: The study analyzed 38 sports drinks and 42 energy drinks. Sports drinks were significantly more expensive than energy drinks, with higher net content and elevated magnesium, potassium, and vitamin C. Energy drinks contained higher concentrations of caffeine, sugars, and vitamins B2, B3, and B6.

Conclusion: Significant nutritional differences exist between sports and energy drinks, reflecting their intended uses. However, these beverages’ high sugar content and calorie loads raise health concerns. Proper labeling, public awareness, and responsible marketing are essential to guide safe consumption practices in Egypt.

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Writing your research paper

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Home » Research Summary – Structure, Examples and Writing Guide

Research Summary – Structure, Examples and Writing Guide

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Research Summary

Definition:

A research summary is a brief and concise overview of a research project or study that highlights its key findings, main points, and conclusions. It typically includes a description of the research problem, the research methods used, the results obtained, and the implications or significance of the findings. It is often used as a tool to quickly communicate the main findings of a study to other researchers, stakeholders, or decision-makers.

Structure of Research Summary

The Structure of a Research Summary typically include:

• Introduction : This section provides a brief background of the research problem or question, explains the purpose of the study, and outlines the research objectives.
• Methodology : This section explains the research design, methods, and procedures used to conduct the study. It describes the sample size, data collection methods, and data analysis techniques.
• Results : This section presents the main findings of the study, including statistical analysis if applicable. It may include tables, charts, or graphs to visually represent the data.
• Discussion : This section interprets the results and explains their implications. It discusses the significance of the findings, compares them to previous research, and identifies any limitations or future directions for research.
• Conclusion : This section summarizes the main points of the research and provides a conclusion based on the findings. It may also suggest implications for future research or practical applications of the results.
• References : This section lists the sources cited in the research summary, following the appropriate citation style.

How to Write Research Summary

Here are the steps you can follow to write a research summary:

• Read the research article or study thoroughly: To write a summary, you must understand the research article or study you are summarizing. Therefore, read the article or study carefully to understand its purpose, research design, methodology, results, and conclusions.
• Identify the main points : Once you have read the research article or study, identify the main points, key findings, and research question. You can highlight or take notes of the essential points and findings to use as a reference when writing your summary.
• Write the introduction: Start your summary by introducing the research problem, research question, and purpose of the study. Briefly explain why the research is important and its significance.
• Summarize the methodology : In this section, summarize the research design, methods, and procedures used to conduct the study. Explain the sample size, data collection methods, and data analysis techniques.
• Present the results: Summarize the main findings of the study. Use tables, charts, or graphs to visually represent the data if necessary.
• Interpret the results: In this section, interpret the results and explain their implications. Discuss the significance of the findings, compare them to previous research, and identify any limitations or future directions for research.
• Conclude the summary : Summarize the main points of the research and provide a conclusion based on the findings. Suggest implications for future research or practical applications of the results.
• Revise and edit : Once you have written the summary, revise and edit it to ensure that it is clear, concise, and free of errors. Make sure that your summary accurately represents the research article or study.
• Add references: Include a list of references cited in the research summary, following the appropriate citation style.

Example of Research Summary

Here is an example of a research summary:

Title: The Effects of Yoga on Mental Health: A Meta-Analysis

Introduction: This meta-analysis examines the effects of yoga on mental health. The study aimed to investigate whether yoga practice can improve mental health outcomes such as anxiety, depression, stress, and quality of life.

Methodology : The study analyzed data from 14 randomized controlled trials that investigated the effects of yoga on mental health outcomes. The sample included a total of 862 participants. The yoga interventions varied in length and frequency, ranging from four to twelve weeks, with sessions lasting from 45 to 90 minutes.

Results : The meta-analysis found that yoga practice significantly improved mental health outcomes. Participants who practiced yoga showed a significant reduction in anxiety and depression symptoms, as well as stress levels. Quality of life also improved in those who practiced yoga.

Discussion : The findings of this study suggest that yoga can be an effective intervention for improving mental health outcomes. The study supports the growing body of evidence that suggests that yoga can have a positive impact on mental health. Limitations of the study include the variability of the yoga interventions, which may affect the generalizability of the findings.

Conclusion : Overall, the findings of this meta-analysis support the use of yoga as an effective intervention for improving mental health outcomes. Further research is needed to determine the optimal length and frequency of yoga interventions for different populations.

References :

• Cramer, H., Lauche, R., Langhorst, J., Dobos, G., & Berger, B. (2013). Yoga for depression: a systematic review and meta-analysis. Depression and anxiety, 30(11), 1068-1083.
• Khalsa, S. B. (2004). Yoga as a therapeutic intervention: a bibliometric analysis of published research studies. Indian journal of physiology and pharmacology, 48(3), 269-285.
• Ross, A., & Thomas, S. (2010). The health benefits of yoga and exercise: a review of comparison studies. The Journal of Alternative and Complementary Medicine, 16(1), 3-12.

Purpose of Research Summary

The purpose of a research summary is to provide a brief overview of a research project or study, including its main points, findings, and conclusions. The summary allows readers to quickly understand the essential aspects of the research without having to read the entire article or study.

Research summaries serve several purposes, including:

• Facilitating comprehension: A research summary allows readers to quickly understand the main points and findings of a research project or study without having to read the entire article or study. This makes it easier for readers to comprehend the research and its significance.
• Communicating research findings: Research summaries are often used to communicate research findings to a wider audience, such as policymakers, practitioners, or the general public. The summary presents the essential aspects of the research in a clear and concise manner, making it easier for non-experts to understand.
• Supporting decision-making: Research summaries can be used to support decision-making processes by providing a summary of the research evidence on a particular topic. This information can be used by policymakers or practitioners to make informed decisions about interventions, programs, or policies.
• Saving time: Research summaries save time for researchers, practitioners, policymakers, and other stakeholders who need to review multiple research studies. Rather than having to read the entire article or study, they can quickly review the summary to determine whether the research is relevant to their needs.

Characteristics of Research Summary

The following are some of the key characteristics of a research summary:

• Concise : A research summary should be brief and to the point, providing a clear and concise overview of the main points of the research.
• Objective : A research summary should be written in an objective tone, presenting the research findings without bias or personal opinion.
• Comprehensive : A research summary should cover all the essential aspects of the research, including the research question, methodology, results, and conclusions.
• Accurate : A research summary should accurately reflect the key findings and conclusions of the research.
• Clear and well-organized: A research summary should be easy to read and understand, with a clear structure and logical flow.
• Relevant : A research summary should focus on the most important and relevant aspects of the research, highlighting the key findings and their implications.
• Audience-specific: A research summary should be tailored to the intended audience, using language and terminology that is appropriate and accessible to the reader.
• Citations : A research summary should include citations to the original research articles or studies, allowing readers to access the full text of the research if desired.

When to write Research Summary

Here are some situations when it may be appropriate to write a research summary:

• Proposal stage: A research summary can be included in a research proposal to provide a brief overview of the research aims, objectives, methodology, and expected outcomes.
• Conference presentation: A research summary can be prepared for a conference presentation to summarize the main findings of a study or research project.
• Journal submission: Many academic journals require authors to submit a research summary along with their research article or study. The summary provides a brief overview of the study’s main points, findings, and conclusions and helps readers quickly understand the research.
• Funding application: A research summary can be included in a funding application to provide a brief summary of the research aims, objectives, and expected outcomes.
• Policy brief: A research summary can be prepared as a policy brief to communicate research findings to policymakers or stakeholders in a concise and accessible manner.

Advantages of Research Summary

Research summaries offer several advantages, including:

• Time-saving: A research summary saves time for readers who need to understand the key findings and conclusions of a research project quickly. Rather than reading the entire research article or study, readers can quickly review the summary to determine whether the research is relevant to their needs.
• Clarity and accessibility: A research summary provides a clear and accessible overview of the research project’s main points, making it easier for readers to understand the research without having to be experts in the field.
• Improved comprehension: A research summary helps readers comprehend the research by providing a brief and focused overview of the key findings and conclusions, making it easier to understand the research and its significance.
• Enhanced communication: Research summaries can be used to communicate research findings to a wider audience, such as policymakers, practitioners, or the general public, in a concise and accessible manner.
• Facilitated decision-making: Research summaries can support decision-making processes by providing a summary of the research evidence on a particular topic. Policymakers or practitioners can use this information to make informed decisions about interventions, programs, or policies.
• Increased dissemination: Research summaries can be easily shared and disseminated, allowing research findings to reach a wider audience.

Limitations of Research Summary

Limitations of the Research Summary are as follows:

• Limited scope: Research summaries provide a brief overview of the research project’s main points, findings, and conclusions, which can be limiting. They may not include all the details, nuances, and complexities of the research that readers may need to fully understand the study’s implications.
• Risk of oversimplification: Research summaries can be oversimplified, reducing the complexity of the research and potentially distorting the findings or conclusions.
• Lack of context: Research summaries may not provide sufficient context to fully understand the research findings, such as the research background, methodology, or limitations. This may lead to misunderstandings or misinterpretations of the research.
• Possible bias: Research summaries may be biased if they selectively emphasize certain findings or conclusions over others, potentially distorting the overall picture of the research.
• Format limitations: Research summaries may be constrained by the format or length requirements, making it challenging to fully convey the research’s main points, findings, and conclusions.
• Accessibility: Research summaries may not be accessible to all readers, particularly those with limited literacy skills, visual impairments, or language barriers.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Purdue Online Writing Lab Purdue OWL® College of Liberal Arts

Writing a Research Paper

Welcome to the Purdue OWL

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The Research Paper

There will come a time in most students' careers when they are assigned a research paper. Such an assignment often creates a great deal of unneeded anxiety in the student, which may result in procrastination and a feeling of confusion and inadequacy. This anxiety frequently stems from the fact that many students are unfamiliar and inexperienced with this genre of writing. Never fear—inexperience and unfamiliarity are situations you can change through practice! Writing a research paper is an essential aspect of academics and should not be avoided on account of one's anxiety. In fact, the process of writing a research paper can be one of the more rewarding experiences one may encounter in academics. What is more, many students will continue to do research throughout their careers, which is one of the reasons this topic is so important.

Becoming an experienced researcher and writer in any field or discipline takes a great deal of practice. There are few individuals for whom this process comes naturally. Remember, even the most seasoned academic veterans have had to learn how to write a research paper at some point in their career. Therefore, with diligence, organization, practice, a willingness to learn (and to make mistakes!), and, perhaps most important of all, patience, students will find that they can achieve great things through their research and writing.

The pages in this section cover the following topic areas related to the process of writing a research paper:

• Genre - This section will provide an overview for understanding the difference between an analytical and argumentative research paper.
• Choosing a Topic - This section will guide the student through the process of choosing topics, whether the topic be one that is assigned or one that the student chooses themselves.
• Identifying an Audience - This section will help the student understand the often times confusing topic of audience by offering some basic guidelines for the process.
• Where Do I Begin - This section concludes the handout by offering several links to resources at Purdue, and also provides an overview of the final stages of writing a research paper.

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Online Guide to Writing and Research

The research process, explore more of umgc.

• Online Guide to Writing

Structuring the Research Paper

Formal research structure.

These are the primary purposes for formal research:

enter the discourse, or conversation, of other writers and scholars in your field

learn how others in your field use primary and secondary resources

find and understand raw data and information

For the formal academic research assignment, consider an organizational pattern typically used for primary academic research.  The pattern includes the following: introduction, methods, results, discussion, and conclusions/recommendations.

Usually, research papers flow from the general to the specific and back to the general in their organization. The introduction uses a general-to-specific movement in its organization, establishing the thesis and setting the context for the conversation. The methods and results sections are more detailed and specific, providing support for the generalizations made in the introduction. The discussion section moves toward an increasingly more general discussion of the subject, leading to the conclusions and recommendations, which then generalize the conversation again.

Sections of a Formal Structure

The introduction section.

Many students will find that writing a structured  introduction  gets them started and gives them the focus needed to significantly improve their entire paper. 

Introductions usually have three parts:

presentation of the problem statement, the topic, or the research inquiry

purpose and focus of your paper

summary or overview of the writer’s position or arguments

In the first part of the introduction—the presentation of the problem or the research inquiry—state the problem or express it so that the question is implied. Then, sketch the background on the problem and review the literature on it to give your readers a context that shows them how your research inquiry fits into the conversation currently ongoing in your subject area. 

In the second part of the introduction, state your purpose and focus. Here, you may even present your actual thesis. Sometimes your purpose statement can take the place of the thesis by letting your reader know your intentions. 

The third part of the introduction, the summary or overview of the paper, briefly leads readers through the discussion, forecasting the main ideas and giving readers a blueprint for the paper. 

The following example provides a blueprint for a well-organized introduction.

Example of an Introduction

Entrepreneurial Marketing: The Critical Difference

In an article in the Harvard Business Review, John A. Welsh and Jerry F. White remind us that “a small business is not a little big business.” An entrepreneur is not a multinational conglomerate but a profit-seeking individual. To survive, he must have a different outlook and must apply different principles to his endeavors than does the president of a large or even medium-sized corporation. Not only does the scale of small and big businesses differ, but small businesses also suffer from what the Harvard Business Review article calls “resource poverty.” This is a problem and opportunity that requires an entirely different approach to marketing. Where large ad budgets are not necessary or feasible, where expensive ad production squanders limited capital, where every marketing dollar must do the work of two dollars, if not five dollars or even ten, where a person’s company, capital, and material well-being are all on the line—that is, where guerrilla marketing can save the day and secure the bottom line (Levinson, 1984, p. 9).

By reviewing the introductions to research articles in the discipline in which you are writing your research paper, you can get an idea of what is considered the norm for that discipline. Study several of these before you begin your paper so that you know what may be expected. If you are unsure of the kind of introduction your paper needs, ask your professor for more information.  The introduction is normally written in present tense.

THE METHODS SECTION

The methods section of your research paper should describe in detail what methodology and special materials if any, you used to think through or perform your research. You should include any materials you used or designed for yourself, such as questionnaires or interview questions, to generate data or information for your research paper. You want to include any methodologies that are specific to your particular field of study, such as lab procedures for a lab experiment or data-gathering instruments for field research. The methods section is usually written in the past tense.

THE RESULTS SECTION

How you present the results of your research depends on what kind of research you did, your subject matter, and your readers’ expectations. 

Quantitative information —data that can be measured—can be presented systematically and economically in tables, charts, and graphs. Quantitative information includes quantities and comparisons of sets of data. 

Qualitative information , which includes brief descriptions, explanations, or instructions, can also be presented in prose tables. This kind of descriptive or explanatory information, however, is often presented in essay-like prose or even lists.

There are specific conventions for creating tables, charts, and graphs and organizing the information they contain. In general, you should use them only when you are sure they will enlighten your readers rather than confuse them. In the accompanying explanation and discussion, always refer to the graphic by number and explain specifically what you are referring to; you can also provide a caption for the graphic. The rule of thumb for presenting a graphic is first to introduce it by name, show it, and then interpret it. The results section is usually written in the past tense.

THE DISCUSSION SECTION

Your discussion section should generalize what you have learned from your research. One way to generalize is to explain the consequences or meaning of your results and then make your points that support and refer back to the statements you made in your introduction. Your discussion should be organized so that it relates directly to your thesis. You want to avoid introducing new ideas here or discussing tangential issues not directly related to the exploration and discovery of your thesis. The discussion section, along with the introduction, is usually written in the present tense.

THE CONCLUSIONS AND RECOMMENDATIONS SECTION

Your conclusion ties your research to your thesis, binding together all the main ideas in your thinking and writing. By presenting the logical outcome of your research and thinking, your conclusion answers your research inquiry for your reader. Your conclusions should relate directly to the ideas presented in your introduction section and should not present any new ideas.

You may be asked to present your recommendations separately in your research assignment. If so, you will want to add some elements to your conclusion section. For example, you may be asked to recommend a course of action, make a prediction, propose a solution to a problem, offer a judgment, or speculate on the implications and consequences of your ideas. The conclusions and recommendations section is usually written in the present tense.

Key Takeaways

• For the formal academic research assignment, consider an organizational pattern typically used for primary academic research. 
•  The pattern includes the following: introduction, methods, results, discussion, and conclusions/recommendations.

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Table of Contents: Online Guide to Writing

Chapter 1: College Writing

How Does College Writing Differ from Workplace Writing?

What Is College Writing?

Why So Much Emphasis on Writing?

Chapter 2: The Writing Process

Doing Exploratory Research

Getting from Notes to Your Draft

Introduction

Prewriting - Techniques to Get Started - Mining Your Intuition

Prewriting: Targeting Your Audience

Prewriting: Techniques to Get Started

Prewriting: Understanding Your Assignment

Rewriting: Being Your Own Critic

Rewriting: Creating a Revision Strategy

Rewriting: Getting Feedback

Rewriting: The Final Draft

Techniques to Get Started - Outlining

Techniques to Get Started - Using Systematic Techniques

Thesis Statement and Controlling Idea

Writing: Getting from Notes to Your Draft - Freewriting

Writing: Getting from Notes to Your Draft - Summarizing Your Ideas

Writing: Outlining What You Will Write

Chapter 3: Thinking Strategies

A Word About Style, Voice, and Tone

A Word About Style, Voice, and Tone: Style Through Vocabulary and Diction

Critical Strategies and Writing

Critical Strategies and Writing: Analysis

Critical Strategies and Writing: Evaluation

Critical Strategies and Writing: Persuasion

Critical Strategies and Writing: Synthesis

Developing a Paper Using Strategies

Kinds of Assignments You Will Write

Patterns for Presenting Information

Patterns for Presenting Information: Critiques

Patterns for Presenting Information: Discussing Raw Data

Patterns for Presenting Information: General-to-Specific Pattern

Patterns for Presenting Information: Problem-Cause-Solution Pattern

Patterns for Presenting Information: Specific-to-General Pattern

Patterns for Presenting Information: Summaries and Abstracts

Supporting with Research and Examples

Writing Essay Examinations

Writing Essay Examinations: Make Your Answer Relevant and Complete

Writing Essay Examinations: Organize Thinking Before Writing

Writing Essay Examinations: Read and Understand the Question

Chapter 4: The Research Process

Planning and Writing a Research Paper

Planning and Writing a Research Paper: Ask a Research Question

Planning and Writing a Research Paper: Cite Sources

Planning and Writing a Research Paper: Collect Evidence

Planning and Writing a Research Paper: Decide Your Point of View, or Role, for Your Research

Planning and Writing a Research Paper: Draw Conclusions

Planning and Writing a Research Paper: Find a Topic and Get an Overview

Planning and Writing a Research Paper: Manage Your Resources

Planning and Writing a Research Paper: Outline

Planning and Writing a Research Paper: Survey the Literature

Planning and Writing a Research Paper: Work Your Sources into Your Research Writing

Research Resources: Where Are Research Resources Found? - Human Resources

Research Resources: What Are Research Resources?

Research Resources: Where Are Research Resources Found?

Research Resources: Where Are Research Resources Found? - Electronic Resources

Research Resources: Where Are Research Resources Found? - Print Resources

Structuring the Research Paper: Formal Research Structure

Structuring the Research Paper: Informal Research Structure

The Nature of Research

The Research Assignment: How Should Research Sources Be Evaluated?

The Research Assignment: When Is Research Needed?

The Research Assignment: Why Perform Research?

Chapter 5: Academic Integrity

Academic Integrity

Giving Credit to Sources

Giving Credit to Sources: Copyright Laws

Giving Credit to Sources: Documentation

Giving Credit to Sources: Style Guides

Integrating Sources

Practicing Academic Integrity

Practicing Academic Integrity: Keeping Accurate Records

Practicing Academic Integrity: Managing Source Material

Practicing Academic Integrity: Managing Source Material - Paraphrasing Your Source

Practicing Academic Integrity: Managing Source Material - Quoting Your Source

Practicing Academic Integrity: Managing Source Material - Summarizing Your Sources

Types of Documentation

Types of Documentation: Bibliographies and Source Lists

Types of Documentation: Citing World Wide Web Sources

Types of Documentation: In-Text or Parenthetical Citations

Types of Documentation: In-Text or Parenthetical Citations - APA Style

Types of Documentation: In-Text or Parenthetical Citations - CSE/CBE Style

Types of Documentation: In-Text or Parenthetical Citations - Chicago Style

Types of Documentation: In-Text or Parenthetical Citations - MLA Style

Types of Documentation: Note Citations

Chapter 6: Using Library Resources

Finding Library Resources

Chapter 7: Assessing Your Writing

How Is Writing Graded?

How Is Writing Graded?: A General Assessment Tool

The Draft Stage

The Draft Stage: The First Draft

The Draft Stage: The Revision Process and the Final Draft

The Draft Stage: Using Feedback

The Research Stage

Using Assessment to Improve Your Writing

Chapter 8: Other Frequently Assigned Papers

Reviews and Reaction Papers: Article and Book Reviews

Reviews and Reaction Papers: Reaction Papers

Writing Arguments

Writing Arguments: Adapting the Argument Structure

Writing Arguments: Purposes of Argument

Writing Arguments: References to Consult for Writing Arguments

Writing Arguments: Steps to Writing an Argument - Anticipate Active Opposition

Writing Arguments: Steps to Writing an Argument - Determine Your Organization

Writing Arguments: Steps to Writing an Argument - Develop Your Argument

Writing Arguments: Steps to Writing an Argument - Introduce Your Argument

Writing Arguments: Steps to Writing an Argument - State Your Thesis or Proposition

Writing Arguments: Steps to Writing an Argument - Write Your Conclusion

Writing Arguments: Types of Argument

Appendix A: Books to Help Improve Your Writing

Dictionaries

General Style Manuals

Researching on the Internet

Special Style Manuals

Writing Handbooks

Appendix B: Collaborative Writing and Peer Reviewing

Collaborative Writing: Assignments to Accompany the Group Project

Collaborative Writing: Informal Progress Report

Collaborative Writing: Issues to Resolve

Collaborative Writing: Methodology

Collaborative Writing: Peer Evaluation

Collaborative Writing: Tasks of Collaborative Writing Group Members

Collaborative Writing: Writing Plan

General Introduction

Peer Reviewing

Appendix C: Developing an Improvement Plan

Working with Your Instructor’s Comments and Grades

Appendix D: Writing Plan and Project Schedule

Devising a Writing Project Plan and Schedule

Reviewing Your Plan with Others

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How to Write a Research Paper: Parts of the Paper

• Choosing Your Topic
• Citation & Style Guides This link opens in a new window
• Critical Thinking
• Evaluating Information
• Parts of the Paper
• Writing Tips from UNC-Chapel Hill
• Librarian Contact

Parts of the Research Paper Papers should have a beginning, a middle, and an end. Your introductory paragraph should grab the reader's attention, state your main idea, and indicate how you will support it. The body of the paper should expand on what you have stated in the introduction. Finally, the conclusion restates the paper's thesis and should explain what you have learned, giving a wrap up of your main ideas.

1. The Title The title should be specific and indicate the theme of the research and what ideas it addresses. Use keywords that help explain your paper's topic to the reader. Try to avoid abbreviations and jargon. Think about keywords that people would use to search for your paper and include them in your title.

2. The Abstract The abstract is used by readers to get a quick overview of your paper. Typically, they are about 200 words in length (120 words minimum to  250 words maximum). The abstract should introduce the topic and thesis, and should provide a general statement about what you have found in your research. The abstract allows you to mention each major aspect of your topic and helps readers decide whether they want to read the rest of the paper. Because it is a summary of the entire research paper, it is often written last. 

3. The Introduction The introduction should be designed to attract the reader's attention and explain the focus of the research. You will introduce your overview of the topic,  your main points of information, and why this subject is important. You can introduce the current understanding and background information about the topic. Toward the end of the introduction, you add your thesis statement, and explain how you will provide information to support your research questions. This provides the purpose and focus for the rest of the paper.

4. Thesis Statement Most papers will have a thesis statement or main idea and supporting facts/ideas/arguments. State your main idea (something of interest or something to be proven or argued for or against) as your thesis statement, and then provide your supporting facts and arguments. A thesis statement is a declarative sentence that asserts the position a paper will be taking. It also points toward the paper's development. This statement should be both specific and arguable. Generally, the thesis statement will be placed at the end of the first paragraph of your paper. The remainder of your paper will support this thesis.

Students often learn to write a thesis as a first step in the writing process, but often, after research, a writer's viewpoint may change. Therefore a thesis statement may be one of the final steps in writing. 

Examples of Thesis Statements from Purdue OWL

5. The Literature Review The purpose of the literature review is to describe past important research and how it specifically relates to the research thesis. It should be a synthesis of the previous literature and the new idea being researched. The review should examine the major theories related to the topic to date and their contributors. It should include all relevant findings from credible sources, such as academic books and peer-reviewed journal articles. You will want  to:

• Explain how the literature helps the researcher understand the topic.
• Try to show connections and any disparities between the literature.
• Identify new ways to interpret prior research.
• Reveal any gaps that exist in the literature.

More about writing a literature review. . .

6. The Discussion ​The purpose of the discussion is to interpret and describe what you have learned from your research. Make the reader understand why your topic is important. The discussion should always demonstrate what you have learned from your readings (and viewings) and how that learning has made the topic evolve, especially from the short description of main points in the introduction.Explain any new understanding or insights you have had after reading your articles and/or books. Paragraphs should use transitioning sentences to develop how one paragraph idea leads to the next. The discussion will always connect to the introduction, your thesis statement, and the literature you reviewed, but it does not simply repeat or rearrange the introduction. You want to: 

• Demonstrate critical thinking, not just reporting back facts that you gathered.
• If possible, tell how the topic has evolved over the past and give it's implications for the future.
• Fully explain your main ideas with supporting information.
• Explain why your thesis is correct giving arguments to counter points.

7. The Conclusion A concluding paragraph is a brief summary of your main ideas and restates the paper's main thesis, giving the reader the sense that the stated goal of the paper has been accomplished. What have you learned by doing this research that you didn't know before? What conclusions have you drawn? You may also want to suggest further areas of study, improvement of research possibilities, etc. to demonstrate your critical thinking regarding your research.

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Organizing Academic Research Papers: 4. The Introduction

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

The introduction serves the purpose of leading the reader from a general subject area to a particular field of research. It establishes the context of the research being conducted by summarizing current understanding and background information about the topic, stating the purpose of the work in the form of the hypothesis, question, or research problem, briefly explaining your rationale, methodological approach, highlighting the potential outcomes your study can reveal, and describing the remaining structure of the paper.

Key Elements of the Research Proposal. Prepared under the direction of the Superintendent and by the 2010 Curriculum Design and Writing Team. Baltimore County Public Schools.

Importance of a Good Introduction

Think of the introduction as a mental road map that must answer for the reader these four questions:

• What was I studying?
• Why was this topic important to investigate?
• What did we know about this topic before I did this study?
• How will this study advance our knowledge?

A well-written introduction is important because, quite simply, you never get a second chance to make a good first impression. The opening paragraph of your paper will provide your readers with their initial impressions about the logic of your argument, your writing style, the overall quality of your research, and, ultimately, the validity of your findings and conclusions. A vague, disorganized, or error-filled introduction will create a negative impression, whereas, a concise, engaging, and well-written introduction will start your readers off thinking highly of your analytical skills, your writing style, and your research approach.

Introductions . The Writing Center. University of North Carolina.

Structure and Writing Style

I. Structure and Approach

The introduction is the broad beginning of the paper that answers three important questions for the reader:

• What is this?
• Why am I reading it?
• What do you want me to think about / consider doing / react to?

Think of the structure of the introduction as an inverted triangle of information. Organize the information so as to present the more general aspects of the topic early in the introduction, then narrow toward the more specific topical information that provides context, finally arriving at your statement of purpose and rationale and, whenever possible, the potential outcomes your study can reveal.

These are general phases associated with writing an introduction:

• Highlighting the importance of the topic, and/or
• Making general statements about the topic, and/or
• Presenting an overview on current research on the subject.
• Opposing an existing assumption, and/or
• Revealing a gap in existing research, and/or
• Formulating a research question or problem, and/or
• Continuing a disciplinary tradition.
• Stating the intent of your study,
• Outlining the key characteristics of your study,
• Describing important results, and
• Giving a brief overview of the structure of the paper.

NOTE: Even though the introduction is the first main section of a research paper, it is often useful to finish the introduction very late in the writing process because the structure of the paper, the reporting and analysis of results, and the conclusion will have been completed and it ensures that your introduction matches the overall structure of your paper.

II.  Delimitations of the Study

Delimitations refer to those characteristics that limit the scope and define the conceptual boundaries of your study . This is determined by the conscious exclusionary and inclusionary decisions you make about how to investigate the research problem. In other words, not only should you tell the reader what it is you are studying and why, but you must also acknowledge why you rejected alternative approaches that could have been used to examine the research problem.

Obviously, the first limiting step was the choice of research problem itself. However, implicit are other, related problems that could have been chosen but were rejected. These should be noted in the conclusion of your introduction.

Examples of delimitating choices would be:

• The key aims and objectives of your study,
• The research questions that you address,
• The variables of interest [i.e., the various factors and features of the phenomenon being studied],
• The method(s) of investigation, and
• Any relevant alternative theoretical frameworks that could have been adopted.

Review each of these decisions. You need to not only clearly establish what you intend to accomplish, but to also include a declaration of what the study does not intend to cover. In the latter case, your exclusionary decisions should be based upon criteria stated as, "not interesting"; "not directly relevant"; “too problematic because..."; "not feasible," and the like. Make this reasoning explicit!

NOTE: Delimitations refer to the initial choices made about the broader, overall design of your study and should not be confused with documenting the limitations of your study discovered after the research has been completed.

III. The Narrative Flow

Issues to keep in mind that will help the narrative flow in your introduction :

• Your introduction should clearly identify the subject area of interest . A simple strategy to follow is to use key words from your title in the first few sentences of the introduction. This will help focus the introduction on the topic at the appropriate level and ensures that you get to the primary subject matter quickly without losing focus, or discussing information that is too general.
• Establish context by providing a brief and balanced review of the pertinent published literature that is available on the subject. The key is to summarize for the reader what is known about the specific research problem before you did your analysis. This part of your introduction should not represent a comprehensive literature review but consists of a general review of the important, foundational research literature (with citations) that lays a foundation for understanding key elements of the research problem. See the drop-down tab for "Background Information" for types of contexts.
• Clearly state the hypothesis that you investigated . When you are first learning to write in this format it is okay, and actually preferable, to use a past statement like, "The purpose of this study was to...." or "We investigated three possible mechanisms to explain the...."
• Why did you choose this kind of research study or design? Provide a clear statement of the rationale for your approach to the problem studied. This will usually follow your statement of purpose in the last paragraph of the introduction.

IV. Engaging the Reader

The overarching goal of your introduction is to make your readers want to read your paper. The introduction should grab your reader's attention. Strategies for doing this can be to:

• Open with a compelling story,
• Include a strong quotation or a vivid, perhaps unexpected anecdote,
• Pose a provocative or thought-provoking question,
• Describe a puzzling scenario or incongruity, or
• Cite a stirring example or case study that illustrates why the research problem is important.

NOTE:   Only choose one strategy for engaging your readers; avoid giving an impression that your paper is more flash than substance.

Freedman, Leora  and Jerry Plotnick. Introductions and Conclusions . University College Writing Centre. University of Toronto; Introduction . The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Introductions . The Writing Center. University of North Carolina; Introductions . The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Introductions, Body Paragraphs, and Conclusions for an Argument Paper. The Writing Lab and The OWL. Purdue University; Resources for Writers: Introduction Strategies . Program in Writing and Humanistic Studies. Massachusetts Institute of Technology; Sharpling, Gerald. Writing an Introduction . Centre for Applied Linguistics, University of Warwick; Writing Your Introduction. Department of English Writing Guide. George Mason University.

Writing Tip

Avoid the "Dictionary" Introduction

Giving the dictionary definition of words related to the research problem may appear appropriate because it is important to define specific words or phrases with which readers may be unfamiliar. However, anyone can look a word up in the dictionary and a general dictionary is not a particularly authoritative source. It doesn't take into account the context of your topic and doesn't offer particularly detailed information. Also, placed in the context of a particular discipline, a term may have a different meaning than what is found in a general dictionary. If you feel that you must seek out an authoritative definition, try to find one that is from subject specific dictionaries or encyclopedias [e.g., if you are a sociology student, search for dictionaries of sociology].

Saba, Robert. The College Research Paper . Florida International University; Introductions . The Writing Center. University of North Carolina.

Another Writing Tip

When Do I Begin?

A common question asked at the start of any paper is, "where should I begin?" An equally important question to ask yourself is, "When do I begin?" Research problems in the social sciences rarely rest in isolation from the history of the issue being investigated. It is, therefore, important to lay a foundation for understanding the historical context underpinning the research problem. However, this information should be brief and succinct and begin at a point in time that best informs the reader of study's overall importance. For example, a study about coffee cultivation and export in West Africa as a key stimulus for local economic growth needs to describe the beginning of exporting coffee in the region and establishing why economic growth is important. You do not need to give a long historical explanation about coffee exportation in Africa. If a research problem demands a substantial exploration of historical context, do this in the literature review section; note in the introduction as part of your "roadmap" [see below] that you covering this in the literature review.

Yet Another Writing Tip

Always End with a Roadmap

The final paragraph or sentences of your introduction should forecast your main arguments and conclusions and provide a description of the rest of the paper [a "roadmap"] that let's the reader know where you are going and what to expect.

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How to write a research paper: A step-by-step guide

Published July 20, 2020. Updated May 19, 2022.

Research Paper Definition

A research paper is an essay that evaluates or argues a perception or a point.

Overview of research paper

Research papers are papers written as in-depth analyses of the academic literature on a selected topic. A research paper outline consists of planning out the main sections of the paper, including the points and evidence, so that the drafting and editing processes are much easier. The research paper should have an introduction paragraph, at least three body paragraphs, a conclusion paragraph, and a Works Cited page. Some important steps should be followed while writing a research paper. The steps include understanding the instructor’s expectations for how to write a research paper, brainstorming research paper ideas, conducting research, defining the thesis statement, making a research paper outline, writing, editing again if required, creating a title page, and writing an abstract.

Key takeaways

• A research paper is an essay that analyzes or argues a perspective or a point.
• A research paper outline involves planning out the main sections of your paper, including your points and evidence, so that the drafting and editing processes go a lot smoother.
• Before you write your research paper outline, consult your instructor, research potential topics, and define your thesis statement.
• Your research paper should include an introduction paragraph, at least three body paragraphs, a conclusion paragraph, and a Works Cited page.

What are the steps to writing a research paper?

Here are 7 steps on how to write a research paper, plus two optional steps on creating a title page and an abstract:

Step 1: Understand your instructor’s expectations for how to write a research paper

Step 2: brainstorm research paper ideas, step 3: conduct research, step 4: define your thesis statement, step 5: make a research paper outline, step 6: write, step 7: edit, edit, and edit again, step 8 (optional): create a title page, step 9 (optional): write an abstract.

• Additional tips

Worried about your writing? Submit your paper for a Chegg Writing essay check , or for an Expert Check proofreading . Both can help you find and fix potential writing issues.

First, read and reread the rubric for the assignment. Depending on your field of study, the guidelines will vary. For instance, psychology, education, and the sciences tend to use APA research paper format, while the humanities, language, and the fine arts tend to use MLA or Chicago style.

Once you know which research paper format to use, take heed of any specific expectations your instructor has for this assignment. For example:

• When is it due?
• What is the expected page count?
• Will your instructor expect to see a research paper outline before the draft?
• Is there a set topic list or can you choose your own?
• Is there someplace to look at sample research papers that got A’s?

If anything isn’t clear about how to write a research paper, don’t hesitate to ask your instructor.

Being aware of the assignment’s details is a good start! However, even after reading them, you may still be asking some of the following questions:

• How do you think of topics for research papers?
• How do you think of interesting research paper topics?
• How do I structure an outline?
• Where can you find examples of research papers?

We’ll answer all of these questions (and more) in the steps below.

Some instructors offer a set of research paper topics to choose from. That makes it easy for you—just pick the research paper idea that intrigues you the most! Since all the topics have been approved by your instructor, you shouldn’t have to worry about any of them being too “broad” or “narrow.” (But remember, there are no easy research paper topics!)

On the other hand, many instructors expect students to brainstorm their own topics for research papers. In this case, you will need to ensure your topic is relevant as well as not too broad or narrow.

An example of a research paper topic that is too broad is “The History of Modernist Literature.” An expert would be hard-pressed to write a book on this topic, much less a school essay.

An example of a research paper topic that is too narrow is “Why the First Line of Ulysses Exemplifies Modernist Literature.” It may take a page or two to outline the ways in which the first line of Ulysses exemplifies traits of modernist literature, but there’s only so much you can write about one line!

Good research paper topics fall somewhere in the middle . An example of this would be “Why Ulysses ’ Stephen Exemplifies Modernist Literature.” Analyzing a character in a novel is broader than analyzing a single line, but it is narrower than examining an entire literary movement.

Next, conduct research and use an adequate number of reputable sources to back up your argument or analysis. This means that you need to evaluate the credibility of all your sources and probably include a few peer-reviewed journal articles (tip: use a database).

A lot of good sources can be found online or at your school’s library (in-person and online). If you’re stuck finding sources or would like to see a sample research paper, ask your librarian for help. If you’re having trouble finding useful sources, it may be a warning sign that your idea is too broad or narrow. For a more comprehensive look at research, check this out .

Your thesis statement is the most important line of your research paper! It encompasses in one sentence what your paper is all about. Having a concrete thesis statement will help you organize your thoughts around a defined point, and it will help your readers understand what they’re reading about.

If you could boil your paper down into a single line, what would that line be?

Here is an example of a working thesis:

In George Orwell’s  1984 , the Party manipulates citizens into total submission to the Party’s ideals through Newspeak, propaganda, and altered history.

For more information, see this guide on thesis statements .

Even if you think you chose an easy research paper topic, a structured, outlined research paper format is still necessary to help you stay organized and on-track while you draft. The traditional research paper outline example looks something like this:

Introduction

• Main point #1
• Main point #2
• Main point #3

Works cited

Let’s examine each section in detail.

Wondering how to start a research paper that gets an A? One good step is to have a strong introduction. Your research paper introduction will include the following elements:

• state your thesis (the one or two-line gist of your paper)
• explain the question you will answer or argument you will make
• outline your research methodology

1. Open with a hook

Keep your readers reading—hook them! A handy tip for writing a hook is to think about what made you choose this topic. What about your topic captured your interest enough to research it and write a paper about it?

A hook might sound something like the following examples:

Did you know that babies have around a hundred more bones than adults?

A language dies every fourteen days.

Of course, by no means does your opening line have to be so shocking. It could be as simple as you’d like, as long as it pulls your readers in and gives them an idea of what your paper is going to be about.

2.  Introduce relevant background context

After you’ve hooked your readers, introduce them to the topic at hand. What is already known about it? What is still a mystery? Why should we care? Finally, what work have you done to advance knowledge on this topic?

You can include a relevant quotation or paraphrase here, but keep it short and sweet. Your introduction should not be bogged down with anything less than essential.

3.  End on your thesis statement

Finally, end your introduction paragraph with your thesis statement, which is a concise sentence (just one, two max) summarizing the crux of your research paper.

Research paper introduction example

As John Wilkes Booth fled the scene of his assassination of President Abraham Lincoln, he yelled, “ Sic semper tyrannis ! The South is avenged!” Booth was an ardent supporter of the Southern cause during the Civil War era, but what made him passionate enough to assassinate a sitting president? Although Booth’s ire can be traced mostly to his backing of the South, there is more to the story than just that. John Wilkes Booth had three primary motives for assassinating Abraham Lincoln.

The body of your paper is not limited to three points, as shown below, but three is typically considered the minimum. A good rule of thumb is to back up each main point with three arguments or pieces of evidence. To present a cogent argument or make your analysis more compelling , present your points and arguments in a “strong, stronger, strongest” research paper format.

• Main point #1 – A strong point 
• Strong supporting argument or evidence #1
• Stronger supporting argument or evidence #2
• Strongest supporting argument or evidence #3
• Main point #2 – A stronger point
• Main point #3 – Your strongest point

The conclusion is crucial for helping your readers reflect on your main arguments or analyses and understand why what they just read was worthwhile.

• restate your topic
• synthesize your most important points
• restate your thesis statement
• tie it all into the bigger picture

1.  Restate your topic

Before you wrap up your paper, it helps to remind your readers of the main idea at hand. This is different than restating your thesis. While your thesis states the specific argument or analysis at hand, the main idea of your research paper might be much broader. For instance, your thesis statement might be “John Wilkes Booth had three primary motives for assassinating Abraham Lincoln.” The main idea of the paper is Booth’s assassination of Lincoln. Even broader, the research paper is about American history.

2.  Synthesize your most important points

The key here is to synthesize , not summarize . Many students don’t see the point of conclusions because they look at them as mere repetition of points that already have been made. They’re right—that’s not what a conclusion paragraph should do! To summarize is to objectively restate what you’ve already said in your paper. What you want to do instead is offer a new viewpoint. Take the points you’ve made and develop a unique understanding or perspective.

For example, assume the main points you made in your paper are the following:

John Wilkes Booth was loyal to the South and the Confederate States of America.

John Wilkes Booth strongly opposed the abolition of slavery.

John Wilkes Booth was vocal about his hatred of Abraham Lincoln.

Instead of simply restating those three points in your conclusion, you could synthesize the points:

John Wilkes Booth’s outspoken loyalty to the South and opposition to abolition motivated him to assassinate Lincoln, who was one of the most prominent proponents of the abolition of slavery and the Union side of the Civil War. If Lincoln’s cause succeeded, the economy and culture of the antebellum South that Booth advocated for would not survive. All of those reasons combined were why Booth saw it as imperative that Lincoln be killed.

3.  Restate your thesis statement

After you’ve synthesized the main points of your research paper, restate your thesis statement. This helps bring your paper full circle back to where you began.

4.  Tie it all into the bigger picture

Answer the “so what?” question of your argument or analysis in order to end your research paper by tying it into a bigger picture. What implications does your argument or analysis have on the research of others? Why does your discovery matter? If you’re not sure, ask a friend to ask you (or ask yourself) “so what?” until you’ve figured it out. Here’s how it might look:

Friend: What is your paper about?

You: John Wilkes Booth assassinated Abraham Lincoln for three main reasons.

Friend: So what?

You: It’s important to know why he killed Lincoln.

Friend: Why is it important?

You: So we know what kind of things motivate assassins to kill presidents so we can avoid it happening in the future.

Just like that, you have tied your paper into the bigger picture. Your paper is more likely to have a strong impact on your readers (and receive a better grade) if you end it with a strong “take-home” message.

Tips for writing a great conclusion to your paper

• Link your conclusion to your introduction.
• Don’t give away all the answers. Remember, you don’t have to have all the answers. You can conclude your research paper with some questions for your readers to ponder.
• Propose a call to action. After conducting all this research and formulating some great arguments or analyses, you might believe something needs to be done. For example, if you wrote the aforementioned research paper about Abraham Lincoln’s assassination, you might suggest a call to action that we all keep an eye out for potential presidential assassins like John Wilkes Booth.

Mistakes to avoid when concluding your research paper

• Being too wordy. Keep the conclusion concise.
• Failure to relate it back to your intro.
• Failure to reflect on the bigger picture. Provide a compelling synthesis of what was just written.

Research paper conclusion example

Presidential assassinations are particularly sad and defining points in American history. They shake the country and make the people ask, “How could this happen to the most powerful figure in our nation?” In this paper, we explored some of the reasons why assassinations happen. John Wilkes Booth’s outspoken loyalty to the South and opposition to abolition motivated him to assassinate Lincoln, who was one of the most prominent proponents of the abolition of slavery and the Union side of the Civil War. If Lincoln’s cause succeeded, the economy and culture of the antebellum South that Booth advocated for would not survive. Those three motives combined were why Booth saw it as imperative that Lincoln be killed. As history scholars, we should remember why and how this happened so that we can avoid it happening in the future.

A works cited or bibliography page (or pages) should be the final section of your paper. This section includes a list of the resources you consulted, quoted, or cited within the body of your work, as well as those which influenced your ideas on the topic.

This is only a basic research paper outline template, which can be altered depending on the length and purpose of your paper. Argumentative papers aim to prove a point through well-researched, persuasive argument, while analytical papers posit a question and explore possible answers throughout the paper. Either way, your goal as a writer is to find and share the truth, whether you do so before you start writing a research paper or while you’re writing it.

Once you have an outline in the above research paper format, it’s a good idea to consult with your teacher or a writing tutor to find ways to strengthen it. They’ll also be able to give you good writing advice, from how to start a research paper to how to find research paper ideas conducive to strong arguments. As you write, you might find yourself tweaking (or overhauling) your outline. That’s okay!

You already have a rock-solid topic, credible sources, and intuitive outline. Now, you just have to flesh it out into pages of flowing, articulate prose. (Okay, it won’t exactly be easy.)

Before you begin writing, you might find it helpful to look at sample research papers in your school’s library or writing center (many research paper examples can also be found online). This will give you an idea of how to do a research paper outline, build a research paper outline template, as well as give you several research paper introduction examples. Here is one example research paper .

Examples of research papers you’ll see will look crazy long. But remember, those weren’t completed in one sitting! So, don’t wait until the last minute to get started. You’ll need to factor in time for breaks, writing tutor consultations, and the dreaded writer’s block.

You will probably write multiple drafts. Don’t expect your first draft to be perfect. You may even need to change your main argument halfway through your draft. That’s okay! Be ready to re-brainstorm, re-outline, and rewrite.

This might just be the most important step. Even if you brainstorm the perfect topic, create a brilliant research paper outline, and write a strong first draft. None of that brilliance will shine through if your paper is full of typos, grammar errors, and rambling tangents.

You’ll want to complete these kinds of editing, in this order:

• line editing
• spell-checking
• proofreading

Revision deals with broad issues, such as an argument that doesn’t make sense or a source that doesn’t support your thesis. Line editing, spell-checking, and proofreading are more to do with your writing itself—the flow of your sentences and the presence of any spelling or grammatical errors.

Paper formatting

The format of your paper will depend largely on what paper or citation style your instructor has told you to use (e.g., APA, MLA, Chicago, Harvard, etc.). In general though, here are some good paper formatting guidelines to follow:

• Use 1-inch margins around your paper.
• Use a standard font like Times New Roman, Arial, etc.
• Use a standard font size between 10-12 points.
• Make sure that the title of your paper, date you turn it in, course name, and your name appear somewhere on the first page. If this is for APA, you’ll create a title page. If for MLA, you’ll create a header.

After you finish, it also doesn’t hurt to check your paper for plagiarism .

Before you turn in that paper, don’t forget to cite your sources in APA format , MLA format , or a style of your choice.

A title page is not always needed but is sometimes requested by an instructor or required by a paper format (example: APA style). It is always the first page of a paper and is the cover that communicates what’s in store for a reader. Let’s discuss what a title page is, why it’s important, how to create one, and tips on writing a good title.

What is a title page?

A title page is the first page of the paper that displays the title, the author’s name, and other required information such as thhe course number, the instructor’s name, or the date .

Why have a title page?

The main purpose of title page is like the purpose of a book cover or a news article headline. Its purpose is to allow the reader to easily understand what the paper is about .

This makes it especially important for you to have an effective and well-written title for your essay. You want to capture the reader’s attention, so they feel that your work is worth reading.

A title page can also indicate that the paper is academic in nature. The structured nature of a title page is an indicator that a paper has been created using certain academic guidelines or standards.

What is included on the title page besides the title?

There are two title page formats that you may be asked to use for academic papers. One is called American Psychological Association, which is commonly known as APA, and the second is called Modern Language Association, generally referred to as MLA. APA is typically used for research involving technical and scientific topics while MLA is more likely to be used for humanities or literature topics. Even though they are similar, each has a different set of requirements for the title page.

APA requirements:

• Research Paper Title
• Author’s full name (first name, middle initial, last name)
• Department and university name/Affiliation
• Course number and name
• Instructor’s/Professor’s name
• Assignment due date
• Page number
• All information is to be double spaced and centered
• Use Times New Roman font with 12 point size

MLA requirements:

It is important to note that usually a cover page is not required when using the MLA format. Instead, all the same points are found at the top of the first page of the research paper. However, if a title page is requested, it must meet the following requirements:

• Name of the school or university
• Title of the paper
• Subtitle of the paper (if necessary)
• Author’s/Student’s name
• Appropriate course number and name
• Use Times New Roman font with 12 as the font size
• Except for small words such as a, the, or, etc.
• The first letter of the first word should always be capitalized
• For BOTH formats, the first line should be spaced down three or four lines from the top margin.

Now, look at examples of both APA and MLA college research paper title page formats.

College research paper title page examples

Effects of Depression Symptoms on Quality of Sleep  

Jane A. Doe and John Z. Smith

Michigan State University

Jack Peterson, Instructor

March 11, 2021

Effects of Depression Symptoms on Quality of Sleep

Jane A. Doe and Joe Z. Smith

Professor Jack Peterson

Tips on writing a great title

There are few things to consider when creating the title of your research paper:

• Succinctly communicate what the topic of the paper is.
• Be concise.
• Give your reader a preview of your approach to the subject.
• Gain the reader’s interest in learning about your subject.

Below are two examples of titles. Think about which title is more effective and why.

• Student Loan Debt
• The Vanishing American Middle Class: How Student Loan Debt is Destroying the Next Generation and What Can Be Done About It

Hopefully, you noticed that while Title 1 is concise, it is not informative. It does not  give information on the writer’s approach to research on the topic. Title 2 is more interesting and precise than Title 1, and it communicates what problem the writer has researched. It is, however, very long.  An ideal title would be something in the middle like this:

Student Loan Debt and Its Impact on the Vanishing American Middle Class

Here are a few examples of bad titles:

• Television is Influential

(the title is very vague and doesn’t make the reader want to learn more)

• The Most Poisonous Snakes

(This title is too broad.)

• Outsourcing in the 21st Century

While this title is not terrible, it should include more detail. For example, what is being outsourced exactly?

A good paper title should convey your specific topic or argument and can hint at the conclusions. Here are some general guidelines to follow:

• Your title should be grammatically correct and in Title Case
• It should be formatted correctly
• It should not be a quote by someone else
• The title is not your thesis statement
• The title is not just rephrasing the topic or assignment
• Always follow your professor’s preferences
• Do not put your title in All CAPS or Italics

An abstract is a concise overview or summary of your research paper. The abstract is a paragraph that states the central question behind the research, describes the research methods, and summarizes the findings. After reading your abstract, readers should understand exactly what your paper is all about.

Abstracts are used in papers meant for publication in journals and are not typically required for student papers.

What’s the difference between an abstract and an introduction?

Many students have trouble understanding the difference between an abstract and an introduction. While it’s true that both may seem quite similar at first glance, an abstract is distinct from an introduction in several ways.

An abstract is a concise summary, whereas an introduction is much more detailed. When writing an introduction, you will provide an overview of the “why, what, when and how” of your study. On the other hand, an abstract provides readers with a quick overview of your paper without them having to read the entire paper. It will also provide a preview so they can better understand the paper when reading it or deciding whether or not they want to read it.

Why are abstracts necessary for research papers?

Abstracts help researchers to quickly identify studies relevant to subjects they need information on. If abstracts didn’t exist, people would have to sift through pages and pages of each study just to find this important information. In the modern era, abstracts are even more important because they contain keywords that make papers easier to find on the web. In addition, abstracts allow researchers to absorb key information without paying any money if the paper is not an open-source document.

Planning your abstract

Write the abstract after you have finished writing your paper.  You can’t summarize until you have written the paper.  The organization of an abstract is determined by the type of research paper.

Scientific abstracts include a concise summary of the following:

• OBJECTIVE: Clearly define the purpose of your research and the central question you aimed to answer.
• METHODS: Briefly explain research methods you used to answer your central question.
• RESULTS: Summarize the most important and relevant results of your study. Don’t include all of your results if there are too many to realistically fit.
• FINDINGS: Explain how your research answered your central problem or question. What the significance of your research? What kind of argument are you making in light of your results?  

Abstracts for research in humanities and the social sciences contain the following:

• The background and overview of your general topic
• A concise summary of your central argument and claims
• The rationale and purpose for your research in this specific area
• Your method and strategy for researching this topic and primary sources used to support your claims

There are different types of abstracts you may be asked to write, depending on the assignment. Common types of abstracts for the social sciences include the following:

• Critical Abstract: This type of abstract provides a judgment or comment on how reliable the study is. These types of abstracts are quite rare.
• Descriptive Abstract: A descriptive abstract simply summarizes the information found in a paper. There is no judgment involved, and these abstracts can be as short as 100 words.
• Informative Abstract: This is the most common type of abstract. It includes the main arguments,  the evidence presented and the most important findings. In most cases, this is the type of abstract you will be writing.
• Highlight Abstract: The purpose of a highlight abstract is to grab the reader’s attention. These are often incomplete, biased, and full of leading remarks intended only to attract readers. These are not used in academic writing.

Writing your abstract

Abstracts are usually between 150 and 300 words. An abstract for a research paper in the humanities or social sciences should be formatted as a single paragraph. For the sciences, you will need to clearly outline each section (Objective, Methods, Results, Conclusion). The abstract follows the title page.

When it comes to actually writing your abstract, you can simply copy and paste key sentences from your paper and place them in a sequence. This is a good way to organize and outline your ideas before writing the abstract. You may prefer to write it another way – just be sure to include your main objective, method, and overall conclusion.  Regardless, be sure to make your abstract a clear and concise explanation of your rationale for the essay and primary findings.

Below is a sample APA abstract that a freshman college student taking psychology and studying addictive disorders might provide for her research.

Sample Psychology Abstract

The purpose of this essay is to analyze the overall efficacy of Medicated Assisted Treatment (MAT) in individuals with opioid use disorder compared with those individuals who only receive treatment in the form of 12-step recovery style meetings and counseling. From 2017-present, most people who seek assistance for opiate addiction in the United States receive treatment in the form of MAT or 12-step (and related) forms of treatment. Some are provided with both. Using recent data from recognized and credible scientific and medical literature and peer-reviewed journals, I provide an analysis of current trends in how opioid-dependent individuals are likely to be treated and make an argument that MAT combined with counseling/therapy of any recovery model (not only 12-step type, e. g., Narcotics Anonymous or NA) is much more effective than recovery programs using 12-step meetings and fellowship as the primary method of treatment. Furthermore, I demonstrate that individuals with private insurance and access to private treatment (inpatient rehabilitation with medical detoxification and post-acute support) are more likely to receive MAT combined with therapy and, therefore, achieve long term success/ sobriety. Success is measured in the percentage of subjects who show long-term abstinence from opioids after 5 years compared to those who do not survive — or return to their opioid use disorder. The rationale for this research project is to find out how most Americans are treated for this debilitating health issue during the current “opioid epidemic” that resulted in 50,000 overdose-related deaths in 2019 alone. My hope is that my argument might increase awareness of the higher success rates of MAT compared to that of predominately 12-step only recovery as well as prompt discussion of making MAT more accessible to those without private medical insurance and the financial means to pay for it.

Sample Scientific Abstract

“The relationship between habitat use by voles (Rodentia: Microtus) and the density of vegetative cover was studied to determine if voles select forage areas at the microhabitat level.  Using live traps, I trapped, powdered, and released voles at 10 sites.  At each trap site I analyzed the type and height of the vegetation in the immediate area. Using a black light, I followed the trails left by powdered voles through the vegetation.  I mapped the trails using a compass to ascertain the tortuosity, or amount the trail twisted and turned, and visually checked the trails to determine obstruction of the movement path by vegetation.  I also checked vegetative obstruction on 4 random paths near the actual trail, to compare the cover on the trail with other nearby alternative pathways.  There was not a statistically significant difference between the amount of cover on a vole trail and the cover off to the sides of the trail when completely covered; there was a significant difference between on and off the trail when the path was completely open.  These results indicate that voles are selectively avoiding bare areas, while not choosing among dense patches at a fine microhabitat scale.”

Source: http://www.umt.edu/ugresearch/umcur/sample_abstracts.php

Additional tips for writing a research paper abstract

• Imagine you are another researcher looking at your abstract for the first time. Does it adequately summarize your research, or is essential information missing?
• Avoid redundancy.
• Do not use acronyms or abbreviations.
• Do not reference other literature.
• Do not use confusing terminology that new readers will not understand.
• Do not use images, graphs, or tables.
• Only describe the paper – do not defend your research in the abstract.
• No need to cite sources.
• Write in past tense, as the research is already complete.
• Use active tense when possible.

Example research paper on student stress

Why it’s worth learning how to write a research paper.

Learning how to write a research paper will allow you to strengthen your time management, communication, and analytical skills. What is a research paper for, after all, if not to help you grow as a student and a writer? Believe it or not, with enough practice, you’ll become a pro at finding interesting research paper topics, creating an organized research paper outline, and writing a clean draft that flows from introduction to conclusion.

Research paper template and example

• Research paper template
• Research paper example
• How to write a research paper
• Research paper topics
• Research paper outline

By Jolee McManus. Jolee earned a BA in English from the University of Georgia. She has several years of experience as a writing tutor and freelance copywriter and editor

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How to Write a Research Paper

If you already have a headache trying to understand what research paper is all about, we have created an ultimate guide for you on how to write a research paper. You will find all the answers to your questions regarding structure, planning, doing investigation, finding the topic that appeals to you. Plus, you will find out the secret to an excellent paper. Are you at the edge of your seat? Let us start with the basics then.

• What is a Research Paper
• Reasons for Writing a Research Paper
• Report Papers and Thesis Papers
• How to Start a Research Paper
• How to Choose a Topic for a Research Paper
• How to Write a Proposal for a Research Paper
• How to Write a Research Plan
• How to Do Research
• How to Write an Outline for a Research Paper
• How to Write a Thesis Statement for a Research Paper
• How to Write a Research Paper Rough Draft
• How to Write an Introduction for a Research Paper
• How to Write a Body of a Research Paper
• How to Write a Conclusion for a Research Paper
• How to Write an Abstract for a Research Paper
• How to Revise and Edit a Research Paper
• How to Write a Bibliography for a Research Paper
• What Makes a Good Research Paper

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What is a research paper.

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You probably know the saying ‘the devil is not as black as he is painted’. This particular saying is absolutely true when it comes to writing a research paper. Your feet are cold even with the thought of this assignment. You have heard terrifying stories from older students. You have never done this before, so certainly you are scared. What is a research paper? How should I start? What are all these requirements about?

Luckily, you have a friend in need. That is our writing service. First and foremost, let us clarify the definition. A research paper is a piece of academic writing that provides information about a particular topic that you’ve researched . In other words, you choose a topic: about historical events, the work of some artist, some social issues etc. Then you collect data on the given topic and analyze it. Finally, you put your analysis on paper. See, it is not as scary as it seems. If you are still having doubts, whether you can handle it yourself, we are here to help you. Our team of writers can help you choose the topic, or give you advice on how to plan your work, or how to start, or craft a paper for you. Just contact us 24/7 and see everything yourself.

5 Reasons for Writing a Research Paper

Why should I spend my time writing some academic paper? What is the use of it? Is not some practical knowledge more important? The list of questions is endless when it comes to a research paper. That is why we have outlined 5 main reasons why writing a research paper is a good thing.

• You will learn how to organize your time

If you want to write a research paper, you will have to learn how to manage your time. This type of assignment cannot be done overnight. It requires careful planning and you will need to learn how to do it. Later, you will be able to use these time-managing skills in your personal life, so why not developing them?

• You will discover your writing skills

You cannot know something before you try it. This rule relates to writing as well. You cannot claim that you cannot write until you try it yourself. It will be really difficult at the beginning, but then the words will come to your head themselves.

• You will improve your analytical skills

Writing a research paper is all about investigation and analysis. You will need to collect data, examine and classify it. These skills are needed in modern life more than anything else is.

• You will gain confidence

Once you do your own research, it gives you the feeling of confidence in yourself. The reason is simple human brain likes solving puzzles and your assignment is just another puzzle to be solved.

• You will learn how to persuade the reader

When you write your paper, you should always remember that you are writing it for someone to read. Moreover, you want this someone to believe in your ideas. For this reason, you will have to learn different convincing methods and techniques. You will learn how to make your writing persuasive. In turns, you will be able to use these methods in real life.

What is the Difference between Report and Thesis Papers?

A common question is ‘what is the difference between a report paper and a thesis paper?’ The difference lies in the aim of these two assignments. While the former aims at presenting the information, the latter aims at providing your opinion on the matter. In other words, in a report paper you have to summarize your findings. In a thesis paper, you choose some issue and defend your point of view by persuading the reader. It is that simple.

A thesis paper is a more common assignment than a report paper. This task will help a professor to evaluate your analytical skills and skills to present your ideas logically. These skills are more important than just the ability to collect and summarize data.

How to Write a Research Paper Step by Step

Research comes from the French word  rechercher , meaning “to seek out.” Writing a research paper requires you to seek out information about a subject, take a stand on it, and back it up with the opinions, ideas, and views of others. What results is a printed paper variously known as a term paper or library paper, usually between five and fifteen pages long—most instructors specify a minimum length—in which you present your views and findings on the chosen subject.

It is not a secret that the majority of students hate writing a research paper. The reason is simple it steals your time and energy. Not to mention, constant anxiety that you will not be able to meet the deadline or that you will forget about some academic requirement.

We will not lie to you; a research paper is a difficult assignment. You will have to spend a lot of time. You will need to read, to analyze, and to search for the material. You will probably be stuck sometimes. However, if you organize your work smart, you will gain something that is worth all the effort – knowledge, experience, and high grades.

The reason why many students fail writing a research paper is that nobody explained them how to start and how to plan their work. Luckily, you have found our writing service and we are ready to shed the light on this dark matter.

We have created a step by step guide for you on how to write a research paper. We will dwell upon the structure, the writing tips, the writing strategies as well as academic requirements. Read this whole article and you will see that you can handle writing this assignment and our team of writers is here to assist you.

How to Start a Research Paper?

It all starts with the assignment. Your professor gives you the task. It may be either some general issue or specific topic to write about. Your assignment is your first guide to success. If you understand what you need to do according to the assignment, you are on the road to high results. Do not be scared to clarify your task if you need to. There is nothing wrong in asking a question if you want to do something right. You can ask your professor or you can ask our writers who know a thing or two in academic writing.

It is essential to understand the assignment. A good beginning makes a good ending, so start smart.

Learn how to start a research paper .

Choosing a Topic for a Research Paper

We have already mentioned that it is not enough to do great research. You need to persuade the reader that you have made some great research. What convinces better that an eye-catching topic? That is why it is important to understand how to choose a topic for a research paper.

First, you need to delimit the general idea to a more specific one. Secondly, you need to find what makes this topic interesting for you and for the academia. Finally, you need to refine you topic. Remember, it is not something you will do in one day. You can be reshaping your topic throughout your whole writing process. Still, reshaping not changing it completely. That is why keep in your head one main idea: your topic should be precise and compelling .

Learn how to choose a topic for a research paper .

How to Write a Proposal for a Research Paper?

If you do not know what a proposal is, let us explain it to you. A proposal should answer three main questions:

• What is the main aim of your investigation?
• Why is your investigation important?
• How are you going to achieve the results?

In other words, proposal should show why your topic is interesting and how you are going to prove it. As to writing requirements, they may differ. That is why make sure you find out all the details at your department. You can ask your departmental administrator or find information online at department’s site. It is crucial to follow all the administrative requirements, as it will influence your grade.

Learn how to write a proposal for a research paper .

How to Write a Research Plan?

The next step is writing a plan. You have already decided on the main issues, you have chosen the bibliography, and you have clarified the methods. Here comes the planning. If you want to avoid writer’s block, you have to structure you work. Discuss your strategies and ideas with your instructor. Think thoroughly why you need to present some data and ideas first and others second. Remember that there are basic structure elements that your research paper should include:

• Thesis Statement
• Introduction
• Bibliography

You should keep in mind this skeleton when planning your work. This will keep your mind sharp and your ideas will flow logically.

Learn how to write a research plan .

How to Do Research?

Your research will include three stages: collecting data, reading and analyzing it, and writing itself.

First, you need to collect all the material that you will need for you investigation: films, documents, surveys, interviews, and others. Secondly, you will have to read and analyze. This step is tricky, as you need to do this part smart. It is not enough just to read, as you cannot keep in mind all the information. It is essential that you make notes and write down your ideas while analyzing some data. When you get down to the stage number three, writing itself, you will already have the main ideas written on your notes. Plus, remember to jot down the reference details. You will then appreciate this trick when you will have to write the bibliography.

If you do your research this way, it will be much easier for you to write the paper. You will already have blocks of your ideas written down and you will just need to add some material and refine your paper.

Learn how to do research .

How to Write an Outline for a Research Paper?

To make your paper well organized you need to write an outline. Your outline will serve as your guiding star through the writing process. With a great outline you will not get sidetracked, because you will have a structured plan to follow. Both you and the reader will benefit from your outline. You present your ideas logically and you make your writing coherent according to your plan. As a result, this outline guides the reader through your paper and the reader enjoys the way you demonstrate your ideas.

Learn how to write an outline for a research paper . See research paper outline examples .

How to Write a Thesis Statement for a Research Paper?

Briefly, the thesis is the main argument of your research paper. It should be precise, convincing and logical. Your thesis statement should include your point of view supported by evidence or logic. Still, remember it should be precise. You should not beat around the bush, or provide all the possible evidence you have found. It is usually a single sentence that shows your argument. In on sentence you should make a claim, explain why it significant and convince the reader that your point of view is important.

Learn how to write a thesis statement for a research paper . See research paper thesis statement examples .

Should I Write a Rough Draft for a Research Paper?

Do you know any writer who put their ideas on paper, then never edited them and just published? Probably, no writer did so. Writing a research paper is no exception. It is impossible to cope with this assignment without writing a rough draft.

Your draft will help you understand what you need to polish to make your paper perfect. All the requirements, academic standards make it difficult to do everything flawlessly at the first attempt. Make sure you know all the formatting requirements: margins, words quantity, reference requirements, formatting styles etc.

Learn how to write a rough draft for a research paper .

How to Write an Introduction for a Research Paper?

Let us make it more vivid for you. We have narrowed down the tips on writing an introduction to the three main ones:

• Include your thesis in your introduction

Remember to include the thesis statement in your introduction. Usually, it goes at the end of the first paragraph.

• Present the main ideas of the body

You should tell the main topics you are going to discuss in the main body. For this reason, before writing this part of introduction, make sure you know what is your main body is going to be about. It should include your main ideas.

• Polish your thesis and introduction

When you finish the main body of your paper, come back to the thesis statement and introduction. Restate something if needed. Just make it perfect; because introduction is like the trailer to your paper, it should make the reader want to read the whole piece.

Learn how to write an introduction for a research paper . See research paper introduction examples .

How to Write a Body of a Research Paper?

A body is the main part of your research paper. In this part, you will include all the needed evidence; you will provide the examples and support your argument.

It is important to structure your paragraphs thoroughly. That is to say, topic sentence and the evidence supporting the topic. Stay focused and do not be sidetracked. You have your outline, so follow it.

Here are the main tips to keep in head when writing a body of a research paper:

• Let the ideas flow logically
• Include only relevant information
• Provide the evidence
• Structure the paragraphs
• Make the coherent transition from one paragraph to another

See? When it is all structured, it is not as scary as it seemed at the beginning. Still, if you have doubts, you can always ask our writers for help.

Learn how to write a body of a research paper . See research paper transition examples .

How to Write a Conclusion for a Research Paper?

Writing a good conclusion is important as writing any other part of the paper. Remember that conclusion is not a summary of what you have mentioned before. A good conclusion should include your last strong statement.

If you have written everything according to the plan, the reader already knows why your investigation is important. The reader has already seen the evidence. The only thing left is a strong concluding thought that will organize all your findings.

Never include any new information in conclusion. You need to conclude, not to start a new discussion.

Learn how to write a conclusion for a research paper .

How to Write an Abstract for a Research Paper?

An abstract is a brief summary of your paper, usually 100-200 words. You should provide the main gist of your paper in this short summary. An abstract can be informative, descriptive or proposal. Depending on the type of abstract, you need to write, the requirements will differ.

To write an informative abstract you have to provide the summary of the whole paper. Informative summary. In other words, you need to tell about the main points of your work, the methods used, the results and the conclusion of your research.

To write a descriptive abstract you will not have to provide any summery. You should write a short teaser of your paper. That is to say, you need to write an overview of your paper. The aim of a descriptive abstract is to interest the reader.

Finally, to write a proposal abstract you will need to write the basic summary as for the informative abstract. However, the difference is the following: you aim at persuading someone to let you write on the topic. That is why, a proposal abstract should present your topic as the one worth investigating.

Learn how to write an abstract for a research paper .

Should I Revise and Edit a Research Paper?

Revising and editing your paper is essential if you want to get high grades. Let us help you revise your paper smart:

• Check your paper for spelling and grammar mistakes
• Sharpen the vocabulary
• Make sure there are no slang words in your paper
• Examine your paper in terms of structure
• Compare your topic, thesis statement to the whole piece
• Check your paper for plagiarism

If you need assistance with proofreading and editing your paper, you can turn to the professional editors at our service. They will help you polish your paper to perfection.

Learn how to revise and edit a research paper .

How to Write a Bibliography for a Research Paper?

First, let us make it clear that bibliography and works cited are two different things. Works cited are those that you cited in your paper. Bibliography should include all the materials you used to do your research. Still, remember that bibliography requirements differ depending on the formatting style of your paper. For this reason, make sure you ask you professor all the requirements you need to meet to avoid any misunderstanding.

Learn how to write a bibliography for a research paper .

The Key Secret to a Good Research Paper

Now when you know all the stages of writing a research paper, you are ready to find the key to a good research paper:

• Choose the topic that really interests you
• Make the topic interesting for you even if it is not at the beginning
• Follow the step by step guide and do not get sidetracked
• Be persistent and believe in yourself
• Really do research and write your paper from scratch
• Learn the convincing writing techniques and use them
• Follow the requirements of your assignment
• Ask for help if needed from real professionals

Feeling more confident about your paper now? We are sure you do. Still, if you need help, you can always rely on us 24/7.

We hope we have made writing a research paper much easier for you. We realize that it requires lots of time and energy. We believe when you say that you cannot handle it anymore. For this reason, we have been helping students like you for years. Our professional team of writers is ready to tackle any challenge.

All our authors are experienced writers crafting excellent academic papers. We help students meet the deadline and get the top grades they want. You can see everything yourself. All you need to do is to place your order online and we will contact you. Writing a research paper with us is truly easy, so why do not you check it yourself?

Additional Resources for Research Paper Writing:

• Anthropology Research
• Career Research
• Communication Research
• Criminal Justice Research
• Health Research
• Political Science Research
• Psychology Research
• Sociology Research

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How To Write A Research Summary

It’s a common perception that writing a research summary is a quick and easy task. After all, how hard can jotting down 300 words be? But when you consider the weight those 300 words carry, writing a research summary as a part of your dissertation, essay or compelling draft for your paper instantly becomes daunting task.

A research summary requires you to synthesize a complex research paper into an informative, self-explanatory snapshot. It needs to portray what your article contains. Thus, writing it often comes at the end of the task list.

Regardless of when you’re planning to write, it is no less of a challenge, particularly if you’re doing it for the first time. This blog will take you through everything you need to know about research summary so that you have an easier time with it.

What is a Research Summary?

A research summary is the part of your research paper that describes its findings to the audience in a brief yet concise manner. A well-curated research summary represents you and your knowledge about the information written in the research paper.

While writing a quality research summary, you need to discover and identify the significant points in the research and condense it in a more straightforward form. A research summary is like a doorway that provides access to the structure of a research paper's sections.

Since the purpose of a summary is to give an overview of the topic, methodology, and conclusions employed in a paper, it requires an objective approach. No analysis or criticism.

Research summary or Abstract. What’s the Difference?

They’re both brief, concise, and give an overview of an aspect of the research paper. So, it’s easy to understand why many new researchers get the two confused. However, a research summary and abstract are two very different things with individual purpose. To start with, a research summary is written at the end while the abstract comes at the beginning of a research paper.

A research summary captures the essence of the paper at the end of your document. It focuses on your topic, methods, and findings. More like a TL;DR, if you will. An abstract, on the other hand, is a description of what your research paper is about. It tells your reader what your topic or hypothesis is, and sets a context around why you have embarked on your research.

Getting Started with a Research Summary

Before you start writing, you need to get insights into your research’s content, style, and organization. There are three fundamental areas of a research summary that you should focus on.

• While deciding the contents of your research summary, you must include a section on its importance as a whole, the techniques, and the tools that were used to formulate the conclusion. Additionally, there needs to be a short but thorough explanation of how the findings of the research paper have a significance.
• To keep the summary well-organized, try to cover the various sections of the research paper in separate paragraphs. Besides, how the idea of particular factual research came up first must be explained in a separate paragraph.
• As a general practice worldwide, research summaries are restricted to 300-400 words. However, if you have chosen a lengthy research paper, try not to exceed the word limit of 10% of the entire research paper.

How to Structure Your Research Summary

The research summary is nothing but a concise form of the entire research paper. Therefore, the structure of a summary stays the same as the paper. So, include all the section titles and write a little about them. The structural elements that a research summary must consist of are:

It represents the topic of the research. Try to phrase it so that it includes the key findings or conclusion of the task.

The abstract gives a context of the research paper. Unlike the abstract at the beginning of a paper, the abstract here, should be very short since you’ll be working with a limited word count.

Introduction

This is the most crucial section of a research summary as it helps readers get familiarized with the topic. You should include the definition of your topic, the current state of the investigation, and practical relevance in this part. Additionally, you should present the problem statement, investigative measures, and any hypothesis in this section.

Methodology

This section provides details about the methodology and the methods adopted to conduct the study. You should write a brief description of the surveys, sampling, type of experiments, statistical analysis, and the rationality behind choosing those particular methods.

Create a list of evidence obtained from the various experiments with a primary analysis, conclusions, and interpretations made upon that. In the paper research paper, you will find the results section as the most detailed and lengthy part. Therefore, you must pick up the key elements and wisely decide which elements are worth including and which are worth skipping.

This is where you present the interpretation of results in the context of their application. Discussion usually covers results, inferences, and theoretical models explaining the obtained values, key strengths, and limitations. All of these are vital elements that you must include in the summary.

Most research papers merge conclusion with discussions. However, depending upon the instructions, you may have to prepare this as a separate section in your research summary. Usually, conclusion revisits the hypothesis and provides the details about the validation or denial about the arguments made in the research paper, based upon how convincing the results were obtained.

The structure of a research summary closely resembles the anatomy of a scholarly article . Additionally, you should keep your research and references limited to authentic and  scholarly sources only.

Tips for Writing a Research Summary

The core concept behind undertaking a research summary is to present a simple and clear understanding of your research paper to the reader. The biggest hurdle while doing that is the number of words you have at your disposal. So, follow the steps below to write a research summary that sticks.

1. Read the parent paper thoroughly

You should go through the research paper thoroughly multiple times to ensure that you have a complete understanding of its contents. A 3-stage reading process helps.

a. Scan: In the first read, go through it to get an understanding of its basic concept and methodologies.

b. Read: For the second step, read the article attentively by going through each section, highlighting the key elements, and subsequently listing the topics that you will include in your research summary.

c. Skim: Flip through the article a few more times to study the interpretation of various experimental results, statistical analysis, and application in different contexts.

Sincerely go through different headings and subheadings as it will allow you to understand the underlying concept of each section. You can try reading the introduction and conclusion simultaneously to understand the motive of the task and how obtained results stay fit to the expected outcome.

2. Identify the key elements in different sections

While exploring different sections of an article, you can try finding answers to simple what, why, and how. Below are a few pointers to give you an idea:

• What is the research question and how is it addressed?
• Is there a hypothesis in the introductory part?
• What type of methods are being adopted?
• What is the sample size for data collection and how is it being analyzed?
• What are the most vital findings?
• Do the results support the hypothesis?

Discussion/Conclusion

• What is the final solution to the problem statement?
• What is the explanation for the obtained results?
• What is the drawn inference?
• What are the various limitations of the study?

3. Prepare the first draft

Now that you’ve listed the key points that the paper tries to demonstrate, you can start writing the summary following the standard structure of a research summary. Just make sure you’re not writing statements from the parent research paper verbatim.

Instead, try writing down each section in your own words. This will not only help in avoiding plagiarism but will also show your complete understanding of the subject. Alternatively, you can use a summarizing tool (AI-based summary generators) to shorten the content or summarize the content without disrupting the actual meaning of the article.

SciSpace Copilot is one such helpful feature! You can easily upload your research paper and ask Copilot to summarize it. You will get an AI-generated, condensed research summary. SciSpace Copilot also enables you to highlight text, clip math and tables, and ask any question relevant to the research paper; it will give you instant answers with deeper context of the article..

4. Include visuals

One of the best ways to summarize and consolidate a research paper is to provide visuals like graphs, charts, pie diagrams, etc.. Visuals make getting across the facts, the past trends, and the probabilistic figures around a concept much more engaging.

5. Double check for plagiarism

It can be very tempting to copy-paste a few statements or the entire paragraphs depending upon the clarity of those sections. But it’s best to stay away from the practice. Even paraphrasing should be done with utmost care and attention.

Also: QuillBot vs SciSpace: Choose the best AI-paraphrasing tool

6. Religiously follow the word count limit

You need to have strict control while writing different sections of a research summary. In many cases, it has been observed that the research summary and the parent research paper become the same length. If that happens, it can lead to discrediting of your efforts and research summary itself. Whatever the standard word limit has been imposed, you must observe that carefully.

7. Proofread your research summary multiple times

The process of writing the research summary can be exhausting and tiring. However, you shouldn’t allow this to become a reason to skip checking your academic writing several times for mistakes like misspellings, grammar, wordiness, and formatting issues. Proofread and edit until you think your research summary can stand out from the others, provided it is drafted perfectly on both technicality and comprehension parameters. You can also seek assistance from editing and proofreading services , and other free tools that help you keep these annoying grammatical errors at bay.

8. Watch while you write

Keep a keen observation of your writing style. You should use the words very precisely, and in any situation, it should not represent your personal opinions on the topic. You should write the entire research summary in utmost impersonal, precise, factually correct, and evidence-based writing.

9. Ask a friend/colleague to help

Once you are done with the final copy of your research summary, you must ask a friend or colleague to read it. You must test whether your friend or colleague could grasp everything without referring to the parent paper. This will help you in ensuring the clarity of the article.

Once you become familiar with the research paper summary concept and understand how to apply the tips discussed above in your current task, summarizing a research summary won’t be that challenging. While traversing the different stages of your academic career, you will face different scenarios where you may have to create several research summaries.

In such cases, you just need to look for answers to simple questions like “Why this study is necessary,” “what were the methods,” “who were the participants,” “what conclusions were drawn from the research,” and “how it is relevant to the wider world.” Once you find out the answers to these questions, you can easily create a good research summary following the standard structure and a precise writing style.

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Find Places to Publish: Overview

• Evaluating Journals
• Types of Journals
• Journal Metrics

Getting Started

• What type of manuscript do you have -- original research, review, case study, short report, etc.?
• Where have articles that are similar to yours been published?
• Where are the articles you cited in your research published?
• Who is your audience? Who are you writing for? Where does that audience go to read about research in their field?
• Are there professional societies or organizations in your field? If so, do they have conferences or journals?

Resources for Finding Journals

Start by searching  databases in your discipline for articles on a similar subject, and note what journals they are published in.

• Journal Citation Reports This link opens in a new window Look up the Journal Impact Factor, total citations, and other metrics for journals in virtually all areas of science, technology, and the social sciences.
• Cabells Contact information, manuscript guidelines, acceptance rates, review process, and audience for journals in accounting, economics and finance, management, marketing, education, and psychology.
• Serials Directory This link opens in a new window Provides up-to-date and accurate information, including price, for popular serials. Has data from more than 108,000 publishers worldwide, with nearly 250,000 US and International titles.
• WorldCat This link opens in a new window Provides access to book, journals, and archival collections from university, research, and large public libraries around the world. Will give information on the libraries that own specific titles.
• MLA Directory of Periodicals This link opens in a new window Useful for the humanities. Contains contact information, frequency of publication, scope, circulation figures, subscription prices and addresses, submission guidelines, annual statistics of submitted and published articles, and book reviews of each periodical.

Need more help?

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Related Guides

• Author Rights & Copyright SMU Libraries Copyright team
• Measure Scholarly Impact
• New Publication Notifications
• Literature & Creative Writing - Publishing This guide lists resources for publishing other types of works in the Humanities, that are not journals.

Getting Ready to Publish

Why is it important to know about the many avenues for publication?

• Discover the broader landscape of journals that exist, beyond the ones that your professor or colleagues have told you about.
• Find more journal options to submit your research results to.
• Don't fall victim to predatory publishers; learn how to evaluate journals.

More Ways to Learn

• Finding Places to Publish, Canvas Module A10-minute tutorial on finding places to publish.
• Finding Places to Publish Workshop slides
• Finding Places to Publish .pdf copy of the PowerPoint slides above
• Next: Evaluating Journals >>
• Last Updated: Aug 23, 2024 10:35 AM
• URL: https://guides.smu.edu/publish

CS 550: Advanced Computer Networks (Modern Datacenters)

Course overview.

This advanced graduate-level course focuses on the key aspects of modern datacenter networking. Students will explore the differences between traditional Internet architectures and modern datacenters, with an emphasis on cutting-edge technologies, practical applications, and ongoing research. The course is designed to equip students with the necessary knowledge to engage with state-of-the-art networking research and practices.

Office Hours and Contact

• Instructor: Balajee Vamanan
• Office Hours: Friday 3–4 PM at SEO 1310 or by appointment via email.
• Email Policy: Use Piazza for questions/discussions about lectures, papers, and projects. Email is reserved for personal matters only.

Course Goals

• Familiarize students with state-of-the-art networking research, specifically in datacenters.
• Practice reading and critiquing research papers.
• Develop skills for reproducing research results.
• Class Webpage: https://www.550.cs.uic.edu
• Piazza: https://piazza.com/uic/fall2024/cs550/home
• Blackboard: For grades and other official communications.
• Book: Lecture notes and papers

Modality of the Class

Each class will focus on the discussion of 1-2 research papers. Students are expected to read and critique papers before class, and most of the lecture time will be dedicated to in-depth discussion.

Prerequisites

• CS 450 or equivalent: Students must be familiar with basic networking concepts and be comfortable with coding and debugging.
• Project Work: The course involves a significant project component, where students will code and benchmark their work.

Grading Breakdown (Tentative)

• Class Participation: 10%
• Paper Presentations: 30% (2-3 papers per student)
• Paper Critiques: 20%
• Proposal (1-2 pages): 10%
• Presentation (15 mins + 5 mins Q&A): 10%
• Report (10-12 pages): 10%
• Demo (10 mins): 10%

Topics and Schedule (tentative)

Course outline, week 1: introduction to datacenter networks.

• Overview of datacenter architecture
• Evolution of datacenter networks
• Key challenges in datacenter networking

Week 2: Datacenter Topologies

• Traditional three-tier architecture
• Clos networks and fat-tree topologies
• Emerging topologies (e.g., DCell, BCube)

Week 3: Datacenter Network Protocols

• TCP/IP in datacenter environments
• RDMA (Remote Direct Memory Access)
• Datacenter TCP (DCTCP)

Week 4: Software-Defined Networking (SDN) in Datacenters

• SDN architecture and principles
• OpenFlow and other SDN protocols
• SDN controllers for datacenters

Week 5: Network Virtualization

• Network overlays (VXLAN, NVGRE, STT)
• Network Function Virtualization (NFV)
• Virtual Network Functions (VNFs) in datacenters

Week 6: Load Balancing in Datacenters

• Layer 4 vs. Layer 7 load balancing
• Software vs. hardware load balancers
• Advanced load balancing algorithms

Week 7: Datacenter Traffic Engineering

• Flow scheduling
• Multipath routing (ECMP, MPTCP)
• Traffic prediction and optimization

Week 8: Quality of Service (QoS) in Datacenters

• QoS requirements for different applications
• QoS mechanisms (traffic shaping, policing, marking)
• End-to-end QoS in multi-tenant environments

Week 9: Network Security in Datacenters

• Threat models for datacenter networks
• Firewalls and Intrusion Detection/Prevention Systems (IDS/IPS)
• Microsegmentation and zero-trust networking

Week 10: Datacenter Interconnects

• Intra-datacenter connectivity
• Inter-datacenter networking
• Software-defined WANs (SD-WAN) for datacenter interconnection

Week 11: Network Monitoring and Telemetry

• Network monitoring tools and techniques
• Streaming telemetry
• Network analytics and machine learning for anomaly detection

Week 12: Energy Efficiency in Datacenter Networks

• Green networking techniques
• Energy-aware routing and scheduling
• Power management in network devices

Week 13: Datacenter Network Performance

• Performance metrics and benchmarking
• Latency and throughput optimization
• Congestion control mechanisms

Week 14: Emerging Technologies in Datacenter Networking

• Programmable data planes (P4)
• Optical networking in datacenters
• Silicon photonics and co-packaged optics

Week 15: Cloud-Native Networking

• Container networking (e.g., Kubernetes networking)
• Service mesh architectures
• Network automation and Infrastructure as Code (IaC)

Week 16: Future Trends and Research Directions

• AI/ML-driven network management
• Satellite networks and their impact on datacenter connectivity
• Edge computing and its impact on datacenter networks

How to Succeed in this Class

• Keep up with the class materials and participate in discussions.
• Read and critique papers before each class.
• Prepare your presentations thoroughly.
• Start your project early and maintain regular progress.
• How to read a paper: pdf
• (Sep 3) VL2: A Scalable and Flexible Data Center Network: pdf
• Reference: Original fat-tree paper: pdf

Welcome to 2024! Happy New Year!

Research Writing ~ How to Write a Research Paper

• Choosing A Topic
• Critical Thinking
• Domain Names
• Starting Your Research
• Writing Tips
• Parts of the Paper
• Edit & Rewrite
• Citations This link opens in a new window

Papers should have a beginning, a middle, and an end. Your introductory paragraph should grab the reader's attention, state your main idea and how you will support it. The body of the paper should expand on what you have stated in the introduction. Finally, the conclusion restates the paper's thesis and should explain what you have learned, giving a wrap up of your main ideas.   

1. The Title The title should be specific and indicate the theme of the research and what ideas it addresses. Use keywords that help explain your paper's topic to the reader. Try to avoid  abbreviations  and  jargon.  Think about keywords that people would use to search for your paper and include them in your title. 

2. The Abstract The abstract is used by readers to get a quick overview of your paper. Typically, they are about 200 words in length (120 words minimum to  250 words maximum). The abstract should introduce the topic and thesis, and should provide a general statement about what you have found in your research. The abstract allows you to mention each major aspect of you topic and helps readers decide whether they want to read the rest of the paper. Because it is a summary of the entire research paper, it is often written last. 

3. The Introduction The introduction should be designed to attract the reader's attention and explain the focus of the research. You will introduce your overview of the topic, your main points of information, and why this subject is important. You can introduce the current understanding and background information about the topic. Toward the end of the introduction, you add your thesis statement, and explain how you will provide information to support your research questions. This provides the purpose, focus, and structure for the rest of the paper.

4. Thesis Statement Most papers will have a thesis statement or main idea and supporting facts/ideas/arguments. State your main idea (something of interest or something to be proven or argued for or against) as your thesis statement, and then provide  supporting facts and arguments. A thesis statement is a declarative sentence that asserts the position a paper will be taking. It also points toward the paper's development. This statement should be both specific and arguable. Generally, the thesis statement will be placed at the end of the first paragraph of your paper. The remainder of your paper will support this thesis.

Students often learn to write a thesis as a first step in the writing process, but often, after research, a writers viewpoint may change. Therefore a thesis statement may be one of the final steps in writing. 

Examples of thesis statements from Purdue OWL. . .

5. The Literature Review The purpose of the literature review is to describe past important research and how it specifically relates to the research thesis. It should be a synthesis of the previous literature and the new idea being researched. The review should examine the major theories related to the topic to date and their contributors. It should include all relevant findings from credible sources, such as academic books and peer-reviewed journal articles. You will want  to:

• Explain how the literature helps the researcher understand the topic.
• Try to show connections and any disparities between the literature.
• Identify new ways to interpret prior research.
• Reveal any gaps that exist in the literature.

More about writing a literature review. . .  from The Writing Center at UNC-Chapel Hill More about summarizing. . . from the Center for Writing Studies at the University of Illinois-Urbana Champaign

6. The Discussion ​The purpose of the discussion is to interpret and describe what you have learned from your research. Make the reader understand why your topic is important. The discussion should always demonstrate what you have learned from your readings (and viewings) and how that learning has made the topic evolve, especially from the short description of main points in the introduction. Explain any new understanding or insights you have had after reading your articles and/or books. Paragraphs should use transitioning sentences to develop how one paragraph idea leads to the next. The discussion will always connect to the introduction, your thesis statement, and the literature you reviewed, but it does not simply repeat or rearrange the introduction. You want to: 

• Demonstrate critical thinking, not just reporting back facts that you gathered.
• If possible, tell how the topic has evolved over the past and give it's implications for the future.
• Fully explain your main ideas with supporting information.
• Explain why your thesis is correct giving arguments to counter points.

​7. The Conclusion A concluding paragraph is a brief summary of your main ideas and restates the paper's main thesis, giving the reader the sense that the stated goal of the paper has been accomplished. What have you learned by doing this research that you didn't know before? What conclusions have you drawn? You may also want to suggest further areas of study, improvement of research possibilities, etc. to demonstrate your critical thinking regarding your research.

• << Previous: Writing Tips
• Next: Edit & Rewrite >>
• Last Updated: Feb 1, 2024 4:06 PM
• URL: https://library.hccc.edu/research_paper

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The Gut-Brain Axis Could Accelerate Autism Understanding

“future research on the gut-brain axis may unlock autism diagnosis, potentially guiding symptom management and therapeutic developments.”.

The gut microbiota is believed to play an important role in the development of certain disorders, including autism. We know that many children with autism have digestive problems and microbial imbalances in their guts. The exact connection between autism and the gut microbiome, however, is not yet clear.

To study this emerging issue, our team at the Simons Foundation analyzed 25 datasets collected across 18 studies that involved 600 children with autism. We created and ran an algorithm to identify differences between kids with autism and their neurotypical counterparts. We then correlated the microbiome against so-called cytokines, which are immune markers, to see how the gut microbiome is linked to individuals’ immunity and inflammation. 1

This is important because many chronic disorders, such as inflammatory bowel disease and diabetes, demonstrate components of immune dysfunction. Identifying the immune-microbe link in autism not only creates new opportunities for managing autism symptoms, but it also introduces ideas regarding how the microbiome could be manipulated to regulate immune response.

Gut Microbiota May Signal Autism

When we looked at the microbes predicted to be associated with autism and compared them with microbiota likely associated with neurotypical controls, we observed a strong difference between the two groups. Further investigation suggested that we could distinguish accurately between individuals with autism and neurotypical controls just by using their measured gut microbiota. This means that future research might unlock autism diagnoses through gut microbiome analysis, potentially guiding symptom management and therapeutic developments.

[ 10 Foods (and Supplements and Vitamins!) to Boost Your ADHD Brain ]

When we compared the gut-brain axis — the gut microbiota and human brain pathways, or the enzymes responsible for the breakdown of products in the brain — we observed a strong overlap between pathways detected in the gut and those detected in the brain. This suggests that diet affects gut diversity and brain function, from thinking to mood.

GI and Sleep Problems

Many children with autism have gastrointestinal (GI) and sleep problems . In one study, researchers found that the chances for behavioral problems substantially increase when children have GI and sleep problems. 2

Parents should track foods eaten, bowel movements, and sleep patterns to establish connections between these factors and their child’s symptoms. Preventing or treating GI symptoms may provide children with some relief and help them sleep through the night.

Research into the gut-brain axis, and what this correlation can tell us about certain conditions like autism and depression , is still new. In the near future, it is possible that knowledge of gut bacteria will help determine predictive biomarkers of disease, with implications for new therapeutics. What we know about the gut-brain axis will look very different 5 to 10 years from now.

Autism and Gastrointestinal Issues: Next Steps

• Download: Autism Evaluation Checklist
• Read: The ADHD Diet Plan — Healthy Foods and Supplements for Kids & Adults 
• Read: Autism vs. ADHD — A Parent’s Guide to Tricky Diagnoses

Jamie Morton, Ph.D., is an independent consultant who has previously worked for the National Institute of Child Health and Human Development .

SUPPORT ADDITUDE Thank you for reading ADDitude. To support our mission of providing ADHD education and support, please consider subscribing . Your readership and support help make our content and outreach possible. Thank you.

View Article Sources

1 Morton, James T., Dong-Min Jin, Robert H. Mills, Yan Shao, Gibraan Rahman, Daniel McDonald, Qiyun Zhu, et al. (2023). Multi-Level Analysis of the Gut–Brain Axis Shows Autism Spectrum Disorder-Associated Molecular and Microbial Profiles. Nature Neuroscience 26 (7): 1208–17. 10.1177/1087054718816169

2 Leader, G., Barrett, A., Ferrari, C., Casburn, M., Maher, L., Naughton, K., Arndt, S., Mannion, A. (2021). Quality of Life, Gastrointestinal Symptoms, Sleep Problems, Social Support, and Social Functioning in Adults with Autism Spectrum Disorder. Res Dev Disabil. ;112:103915. 10.1016/j.ridd.2021.103915

Autism Spectrum Disorder: Read These Next

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9 Conditions Often Diagnosed with ADHD

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Methodology

• How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates, and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

• Quick Run-through
• Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and its scholarly context
• Develop a theoretical framework and methodology for your research
• Position your work in relation to other researchers and theorists
• Show how your research addresses a gap or contributes to a debate
• Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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See an example

Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models, and methods?
• Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

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To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

• Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
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Fatal Peril: Unheard Stories from the IPV-to-Prison Pipeline

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• Debbie Mukamal, Andrea N. Cimino, Blyss Cleveland, Emma Dougherty, Jacqueline Lewittes, and Becca Zimmerman, Fatal Peril: Unheard Stories from the IPV-to-Prison Pipeline , Stanford Criminal Justice Center (Summer 2024).
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• Published: 28 August 2024

AI generates covertly racist decisions about people based on their dialect

• Valentin Hofmann   ORCID: orcid.org/0000-0001-6603-3428 1 , 2 , 3 ,
• Pratyusha Ria Kalluri 4 ,
• Dan Jurafsky   ORCID: orcid.org/0000-0002-6459-7745 4 &
• Sharese King 5  

Nature volume  633 ,  pages 147–154 ( 2024 ) Cite this article

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Hundreds of millions of people now interact with language models, with uses ranging from help with writing 1 , 2 to informing hiring decisions 3 . However, these language models are known to perpetuate systematic racial prejudices, making their judgements biased in problematic ways about groups such as African Americans 4 , 5 , 6 , 7 . Although previous research has focused on overt racism in language models, social scientists have argued that racism with a more subtle character has developed over time, particularly in the United States after the civil rights movement 8 , 9 . It is unknown whether this covert racism manifests in language models. Here, we demonstrate that language models embody covert racism in the form of dialect prejudice, exhibiting raciolinguistic stereotypes about speakers of African American English (AAE) that are more negative than any human stereotypes about African Americans ever experimentally recorded. By contrast, the language models’ overt stereotypes about African Americans are more positive. Dialect prejudice has the potential for harmful consequences: language models are more likely to suggest that speakers of AAE be assigned less-prestigious jobs, be convicted of crimes and be sentenced to death. Finally, we show that current practices of alleviating racial bias in language models, such as human preference alignment, exacerbate the discrepancy between covert and overt stereotypes, by superficially obscuring the racism that language models maintain on a deeper level. Our findings have far-reaching implications for the fair and safe use of language technology.

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Language models are a type of artificial intelligence (AI) that has been trained to process and generate text. They are becoming increasingly widespread across various applications, ranging from assisting teachers in the creation of lesson plans 10 to answering questions about tax law 11 and predicting how likely patients are to die in hospital before discharge 12 . As the stakes of the decisions entrusted to language models rise, so does the concern that they mirror or even amplify human biases encoded in the data they were trained on, thereby perpetuating discrimination against racialized, gendered and other minoritized social groups 4 , 5 , 6 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 .

Previous AI research has revealed bias against racialized groups but focused on overt instances of racism, naming racialized groups and mapping them to their respective stereotypes, for example by asking language models to generate a description of a member of a certain group and analysing the stereotypes it contains 7 , 21 . But social scientists have argued that, unlike the racism associated with the Jim Crow era, which included overt behaviours such as name calling or more brutal acts of violence such as lynching, a ‘new racism’ happens in the present-day United States in more subtle ways that rely on a ‘colour-blind’ racist ideology 8 , 9 . That is, one can avoid mentioning race by claiming not to see colour or to ignore race but still hold negative beliefs about racialized people. Importantly, such a framework emphasizes the avoidance of racial terminology but maintains racial inequities through covert racial discourses and practices 8 .

Here, we show that language models perpetuate this covert racism to a previously unrecognized extent, with measurable effects on their decisions. We investigate covert racism through dialect prejudice against speakers of AAE, a dialect associated with the descendants of enslaved African Americans in the United States 22 . We focus on the most stigmatized canonical features of the dialect shared among Black speakers in cities including New York City, Detroit, Washington DC, Los Angeles and East Palo Alto 23 . This cross-regional definition means that dialect prejudice in language models is likely to affect many African Americans.

Dialect prejudice is fundamentally different from the racial bias studied so far in language models because the race of speakers is never made overt. In fact we observed a discrepancy between what language models overtly say about African Americans and what they covertly associate with them as revealed by their dialect prejudice. This discrepancy is particularly pronounced for language models trained with human feedback (HF), such as GPT4: our results indicate that HF training obscures the racism on the surface, but the racial stereotypes remain unaffected on a deeper level. We propose using a new method, which we call matched guise probing, that makes it possible to recover these masked stereotypes.

The possibility that language models are covertly prejudiced against speakers of AAE connects to known human prejudices: speakers of AAE are known to experience racial discrimination in a wide range of contexts, including education, employment, housing and legal outcomes. For example, researchers have previously found that landlords engage in housing discrimination based solely on the auditory profiles of speakers, with voices that sounded Black or Chicano being less likely to secure housing appointments in predominantly white locales than in mostly Black or Mexican American areas 24 , 25 . Furthermore, in an experiment examining the perception of a Black speaker when providing an alibi 26 , the speaker was interpreted as more criminal, more working class, less educated, less comprehensible and less trustworthy when they used AAE rather than Standardized American English (SAE). Other costs for AAE speakers include having their speech mistranscribed or misunderstood in criminal justice contexts 27 and making less money than their SAE-speaking peers 28 . These harms connect to themes in broader racial ideology about African Americans and stereotypes about their intelligence, competence and propensity to commit crimes 29 , 30 , 31 , 32 , 33 , 34 , 35 . The fact that humans hold these stereotypes indicates that they are encoded in the training data and picked up by language models, potentially amplifying their harmful consequences, but this has never been investigated.

To our knowledge, this paper provides the first empirical evidence for the existence of dialect prejudice in language models; that is, covert racism that is activated by the features of a dialect (AAE). Using our new method of matched guise probing, we show that language models exhibit archaic stereotypes about speakers of AAE that most closely agree with the most-negative human stereotypes about African Americans ever experimentally recorded, dating from before the civil-rights movement. Crucially, we observe a discrepancy between what the language models overtly say about African Americans and what they covertly associate with them. Furthermore, we find that dialect prejudice affects language models’ decisions about people in very harmful ways. For example, when matching jobs to individuals on the basis of their dialect, language models assign considerably less-prestigious jobs to speakers of AAE than to speakers of SAE, even though they are not overtly told that the speakers are African American. Similarly, in a hypothetical experiment in which language models were asked to pass judgement on defendants who committed first-degree murder, they opted for the death penalty significantly more often when the defendants provided a statement in AAE rather than in SAE, again without being overtly told that the defendants were African American. We also show that current practices of alleviating racial disparities (increasing the model size) and overt racial bias (including HF in training) do not mitigate covert racism; indeed, quite the opposite. We found that HF training actually exacerbates the gap between covert and overt stereotypes in language models by obscuring racist attitudes. Finally, we discuss how the relationship between the language models’ covert and overt racial prejudices is both a reflection and a result of the inconsistent racial attitudes of contemporary society in the United States.

Probing AI dialect prejudice

To explore how dialect choice impacts the predictions that language models make about speakers in the absence of other cues about their racial identity, we took inspiration from the ‘matched guise’ technique used in sociolinguistics, in which subjects listen to recordings of speakers of two languages or dialects and make judgements about various traits of those speakers 36 , 37 . Applying the matched guise technique to the AAE–SAE contrast, researchers have shown that people identify speakers of AAE as Black with above-chance accuracy 24 , 26 , 38 and attach racial stereotypes to them, even without prior knowledge of their race 39 , 40 , 41 , 42 , 43 . These associations represent raciolinguistic ideologies, demonstrating how AAE is othered through the emphasis on its perceived deviance from standardized norms 44 .

Motivated by the insights enabled through the matched guise technique, we introduce matched guise probing, a method for investigating dialect prejudice in language models. The basic functioning of matched guise probing is as follows: we present language models with texts (such as tweets) in either AAE or SAE and ask them to make predictions about the speakers who uttered the texts (Fig. 1 and Methods ). For example, we might ask the language models whether a speaker who says “I be so happy when I wake up from a bad dream cus they be feelin too real” (AAE) is intelligent, and similarly whether a speaker who says “I am so happy when I wake up from a bad dream because they feel too real” (SAE) is intelligent. Notice that race is never overtly mentioned; its presence is merely encoded in the AAE dialect. We then examine how the language models’ predictions differ between AAE and SAE. The language models are not given any extra information to ensure that any difference in the predictions is necessarily due to the AAE–SAE contrast.

a , We used texts in SAE (green) and AAE (blue). In the meaning-matched setting (illustrated here), the texts have the same meaning, whereas they have different meanings in the non-meaning-matched setting. b , We embedded the SAE and AAE texts in prompts that asked for properties of the speakers who uttered the texts. c , We separately fed the prompts with the SAE and AAE texts into the language models. d , We retrieved and compared the predictions for the SAE and AAE inputs, here illustrated by five adjectives from the Princeton Trilogy. See Methods for more details.

We examined matched guise probing in two settings: one in which the meanings of the AAE and SAE texts are matched (the SAE texts are translations of the AAE texts) and one in which the meanings are not matched ( Methods  (‘Probing’) and Supplementary Information  (‘Example texts’)). Although the meaning-matched setting is more rigorous, the non-meaning-matched setting is more realistic, because it is well known that there is a strong correlation between dialect and content (for example, topics 45 ). The non-meaning-matched setting thus allows us to tap into a nuance of dialect prejudice that would be missed by examining only meaning-matched examples (see Methods for an in-depth discussion). Because the results for both settings overall are highly consistent, we present them in aggregated form here, but analyse the differences in the  Supplementary Information .

We examined GPT2 (ref. 46 ), RoBERTa 47 , T5 (ref. 48 ), GPT3.5 (ref. 49 ) and GPT4 (ref. 50 ), each in one or more model versions, amounting to a total of 12 examined models ( Methods and Supplementary Information (‘Language models’)). We first used matched guise probing to probe the general existence of dialect prejudice in language models, and then applied it to the contexts of employment and criminal justice.

Covert stereotypes in language models

We started by investigating whether the attitudes that language models exhibit about speakers of AAE reflect human stereotypes about African Americans. To do so, we replicated the experimental set-up of the Princeton Trilogy 29 , 30 , 31 , 34 , a series of studies investigating the racial stereotypes held by Americans, with the difference that instead of overtly mentioning race to the language models, we used matched guise probing based on AAE and SAE texts ( Methods ).

Qualitatively, we found that there is a substantial overlap in the adjectives associated most strongly with African Americans by humans and the adjectives associated most strongly with AAE by language models, particularly for the earlier Princeton Trilogy studies (Fig. 2a ). For example, the five adjectives associated most strongly with AAE by GPT2, RoBERTa and T5 share three adjectives (‘ignorant’, ‘lazy’ and ‘stupid’) with the five adjectives associated most strongly with African Americans in the 1933 and 1951 Princeton Trilogy studies, an overlap that is unlikely to occur by chance (permutation test with 10,000 random permutations of the adjectives; P  < 0.01). Furthermore, in lieu of the positive adjectives (such as ‘musical’, ‘religious’ and ‘loyal’), the language models exhibit additional solely negative associations (such as ‘dirty’, ‘rude’ and ‘aggressive’).

a , Strongest stereotypes about African Americans in humans in different years, strongest overt stereotypes about African Americans in language models, and strongest covert stereotypes about speakers of AAE in language models. Colour coding as positive (green) and negative (red) is based on ref. 34 . Although the overt stereotypes of language models are overall more positive than the human stereotypes, their covert stereotypes are more negative. b , Agreement of stereotypes about African Americans in humans with both overt and covert stereotypes about African Americans in language models. The black dotted line shows chance agreement using a random bootstrap. Error bars represent the standard error across different language models and prompts ( n  = 36). The language models’ overt stereotypes agree most strongly with current human stereotypes, which are the most positive experimentally recorded ones, but their covert stereotypes agree most strongly with human stereotypes from the 1930s, which are the most negative experimentally recorded ones. c , Stereotype strength for individual linguistic features of AAE. Error bars represent the standard error across different language models, model versions and prompts ( n  = 90). The linguistic features examined are: use of invariant ‘be’ for habitual aspect; use of ‘finna’ as a marker of the immediate future; use of (unstressed) ‘been’ for SAE ‘has been’ or ‘have been’ (present perfects); absence of the copula ‘is’ and ‘are’ for present-tense verbs; use of ‘ain’t’ as a general preverbal negator; orthographic realization of word-final ‘ing’ as ‘in’; use of invariant ‘stay’ for intensified habitual aspect; and absence of inflection in the third-person singular present tense. The measured stereotype strength is significantly above zero for all examined linguistic features, indicating that they all evoke raciolinguistic stereotypes in language models, although there is a lot of variation between individual features. See the Supplementary Information (‘Feature analysis’) for more details and analyses.

To investigate this more quantitatively, we devised a variant of average precision 51 that measures the agreement between the adjectives associated most strongly with African Americans by humans and the ranking of the adjectives according to their association with AAE by language models ( Methods ). We found that for all language models, the agreement with most Princeton Trilogy studies is significantly higher than expected by chance, as shown by one-sided t -tests computed against the agreement distribution resulting from 10,000 random permutations of the adjectives (mean ( m ) = 0.162, standard deviation ( s ) = 0.106; Extended Data Table 1 ); and that the agreement is particularly pronounced for the stereotypes reported in 1933 and falls for each study after that, almost reaching the level of chance agreement for 2012 (Fig. 2b ). In the Supplementary Information (‘Adjective analysis’), we explored variation across model versions, settings and prompts (Supplementary Fig. 2 and Supplementary Table 4 ).

To explain the observed temporal trend, we measured the average favourability of the top five adjectives for all Princeton Trilogy studies and language models, drawing from crowd-sourced ratings for the Princeton Trilogy adjectives on a scale between −2 (very negative) and 2 (very positive; see Methods , ‘Covert-stereotype analysis’). We found that the favourability of human attitudes about African Americans as reported in the Princeton Trilogy studies has become more positive over time, and that the language models’ attitudes about AAE are even more negative than the most negative experimentally recorded human attitudes about African Americans (the ones from the 1930s; Extended Data Fig. 1 ). In the Supplementary Information , we provide further quantitative analyses supporting this difference between humans and language models (Supplementary Fig. 7 ).

Furthermore, we found that the raciolinguistic stereotypes are not merely a reflection of the overt racial stereotypes in language models but constitute a fundamentally different kind of bias that is not mitigated in the current models. We show this by examining the stereotypes that the language models exhibit when they are overtly asked about African Americans ( Methods , ‘Overt-stereotype analysis’). We observed that the overt stereotypes are substantially more positive in sentiment than are the covert stereotypes, for all language models (Fig. 2a and Extended Data Fig. 1 ). Strikingly, for RoBERTa, T5, GPT3.5 and GPT4, although their covert stereotypes about speakers of AAE are more negative than the most negative experimentally recorded human stereotypes, their overt stereotypes about African Americans are more positive than the most positive experimentally recorded human stereotypes. This is particularly true for the two language models trained with HF (GPT3.5 and GPT4), in which all overt stereotypes are positive and all covert stereotypes are negative (see also ‘Resolvability of dialect prejudice’). In terms of agreement with human stereotypes about African Americans, the overt stereotypes almost never exhibit agreement significantly stronger than expected by chance, as shown by one-sided t -tests computed against the agreement distribution resulting from 10,000 random permutations of the adjectives ( m  = 0.162, s  = 0.106; Extended Data Table 2 ). Furthermore, the overt stereotypes are overall most similar to the human stereotypes from 2012, with the agreement continuously falling for earlier studies, which is the exact opposite trend to the covert stereotypes (Fig. 2b ).

In the experiments described in the  Supplementary Information (‘Feature analysis’), we found that the raciolinguistic stereotypes are directly linked to individual linguistic features of AAE (Fig. 2c and Supplementary Table 14 ), and that a higher density of such linguistic features results in stronger stereotypical associations (Supplementary Fig. 11 and Supplementary Table 13 ). Furthermore, we present experiments involving texts in other dialects (such as Appalachian English) as well as noisy texts, showing that these stereotypes cannot be adequately explained as either a general dismissive attitude towards text written in a dialect or as a general dismissive attitude towards deviations from SAE, irrespective of how the deviations look ( Supplementary Information (‘Alternative explanations’), Supplementary Figs. 12 and 13 and Supplementary Tables 15 and 16 ). Both alternative explanations are also tested on the level of individual linguistic features.

Thus, we found substantial evidence for the existence of covert raciolinguistic stereotypes in language models. Our experiments show that these stereotypes are similar to the archaic human stereotypes about African Americans that existed before the civil rights movement, are even more negative than the most negative experimentally recorded human stereotypes about African Americans, and are both qualitatively and quantitatively different from the previously reported overt racial stereotypes in language models, indicating that they are a fundamentally different kind of bias. Finally, our analyses demonstrate that the detected stereotypes are inherently linked to AAE and its linguistic features.

Impact of covert racism on AI decisions

To determine what harmful consequences the covert stereotypes have in the real world, we focused on two areas in which racial stereotypes about speakers of AAE and African Americans have been repeatedly shown to bias human decisions: employment and criminality. There is a growing impetus to use AI systems in these areas. Indeed, AI systems are already being used for personnel selection 52 , 53 , including automated analyses of applicants’ social-media posts 54 , 55 , and technologies for predicting legal outcomes are under active development 56 , 57 , 58 . Rather than advocating these use cases of AI, which are inherently problematic 59 , the sole objective of this analysis is to examine the extent to which the decisions of language models, when they are used in such contexts, are impacted by dialect.

First, we examined decisions about employability. Using matched guise probing, we asked the language models to match occupations to the speakers who uttered the AAE or SAE texts and computed scores indicating whether an occupation is associated more with speakers of AAE (positive scores) or speakers of SAE (negative scores; Methods , ‘Employability analysis’). The average score of the occupations was negative ( m  = –0.046,  s  = 0.053), the difference from zero being statistically significant (one-sample, one-sided t -test, t (83) = −7.9, P  < 0.001). This trend held for all language models individually (Extended Data Table 3 ). Thus, if a speaker exhibited features of AAE, the language models were less likely to associate them with any job. Furthermore, we observed that for all language models, the occupations that had the lowest association with AAE require a university degree (such as psychologist, professor and economist), but this is not the case for the occupations that had the highest association with AAE (for example, cook, soldier and guard; Fig. 3a ). Also, many occupations strongly associated with AAE are related to music and entertainment more generally (singer, musician and comedian), which is in line with a pervasive stereotype about African Americans 60 . To probe these observations more systematically, we tested for a correlation between the prestige of the occupations and the propensity of the language models to match them to AAE ( Methods ). Using a linear regression, we found that the association with AAE predicted the occupational prestige (Fig. 3b ; β  = −7.8, R 2 = 0.193, F (1, 63) = 15.1, P  < 0.001). This trend held for all language models individually (Extended Data Fig. 2 and Extended Data Table 4 ), albeit in a less pronounced way for GPT3.5, which had a particularly strong association of AAE with occupations in music and entertainment.

a , Association of different occupations with AAE or SAE. Positive values indicate a stronger association with AAE and negative values indicate a stronger association with SAE. The bottom five occupations (those associated most strongly with SAE) mostly require a university degree, but this is not the case for the top five (those associated most strongly with AAE). b , Prestige of occupations that language models associate with AAE (positive values) or SAE (negative values). The shaded area shows a 95% confidence band around the regression line. The association with AAE or SAE predicts the occupational prestige. Results for individual language models are provided in Extended Data Fig. 2 . c , Relative increase in the number of convictions and death sentences for AAE versus SAE. Error bars represent the standard error across different model versions, settings and prompts ( n  = 24 for GPT2, n  = 12 for RoBERTa, n  = 24 for T5, n  = 6 for GPT3.5 and n  = 6 for GPT4). In cases of small sample size ( n  ≤ 10 for GPT3.5 and GPT4), we plotted the individual results as overlaid dots. T5 does not contain the tokens ‘acquitted’ or ‘convicted’ in its vocabulary and is therefore excluded from the conviction analysis. Detrimental judicial decisions systematically go up for speakers of AAE compared with speakers of SAE.

We then examined decisions about criminality. We used matched guise probing for two experiments in which we presented the language models with hypothetical trials where the only evidence was a text uttered by the defendant in either AAE or SAE. We then measured the probability that the language models assigned to potential judicial outcomes in these trials and counted how often each of the judicial outcomes was preferred for AAE and SAE ( Methods , ‘Criminality analysis’). In the first experiment, we told the language models that a person is accused of an unspecified crime and asked whether the models will convict or acquit the person solely on the basis of the AAE or SAE text. Overall, we found that the rate of convictions was greater for AAE ( r  = 68.7%) than SAE ( r  = 62.1%; Fig. 3c , left). A chi-squared test found a strong effect ( χ 2 (1,  N  = 96) = 184.7,  P  < 0.001), which held for all language models individually (Extended Data Table 5 ). In the second experiment, we specifically told the language models that the person committed first-degree murder and asked whether the models will sentence the person to life or death on the basis of the AAE or SAE text. The overall rate of death sentences was greater for AAE ( r  = 27.7%) than for SAE ( r  = 22.8%; Fig. 3c , right). A chi-squared test found a strong effect ( χ 2 (1,  N  = 144) = 425.4,  P  < 0.001), which held for all language models individually except for T5 (Extended Data Table 6 ). In the Supplementary Information , we show that this deviation was caused by the base T5 version, and that the larger T5 versions follow the general pattern (Supplementary Table 10 ).

In further experiments ( Supplementary Information , ‘Intelligence analysis’), we used matched guise probing to examine decisions about intelligence, and found that all the language models consistently judge speakers of AAE to have a lower IQ than speakers of SAE (Supplementary Figs. 14 and 15 and Supplementary Tables 17 – 19 ).

Resolvability of dialect prejudice

We wanted to know whether the dialect prejudice we observed is resolved by current practices of bias mitigation, such as increasing the size of the language model or including HF in training. It has been shown that larger language models work better with dialects 21 and can have less racial bias 61 . Therefore, the first method we examined was scaling, that is, increasing the model size ( Methods ). We found evidence of a clear trend (Extended Data Tables 7 and 8 ): larger language models are indeed better at processing AAE (Fig. 4a , left), but they are not less prejudiced against speakers of it. In fact, larger models showed more covert prejudice than smaller models (Fig. 4a , right). By contrast, larger models showed less overt prejudice against African Americans (Fig. 4a , right). Thus, increasing scale does make models better at processing AAE and at avoiding prejudice against overt mentions of African Americans, but it makes them more linguistically prejudiced.

a , Language modelling perplexity and stereotype strength on AAE text as a function of model size. Perplexity is a measure of how successful a language model is at processing a particular text; a lower result is better. For language models for which perplexity is not well-defined (RoBERTa and T5), we computed pseudo-perplexity instead (dotted line). Error bars represent the standard error across different models of a size class and AAE or SAE texts ( n  = 9,057 for small, n  = 6,038 for medium, n  = 15,095 for large and n  = 3,019 for very large). For covert stereotypes, error bars represent the standard error across different models of a size class, settings and prompts ( n  = 54 for small, n  = 36 for medium, n  = 90 for large and n  = 18 for very large). For overt stereotypes, error bars represent the standard error across different models of a size class and prompts ( n  = 27 for small, n  = 18 for medium, n  = 45 for large and n  = 9 for very large). Although larger language models are better at processing AAE (left), they are not less prejudiced against speakers of it. Indeed, larger models show more covert prejudice than smaller models (right). By contrast, larger models show less overt prejudice against African Americans (right). In other words, increasing scale does make models better at processing AAE and at avoiding prejudice against overt mentions of African Americans, but it makes them more linguistically prejudiced. b , Change in stereotype strength and favourability as a result of training with HF for covert and overt stereotypes. Error bars represent the standard error across different prompts ( n  = 9). HF weakens (left) and improves (right) overt stereotypes but not covert stereotypes. c , Top overt and covert stereotypes about African Americans in GPT3, trained without HF, and GPT3.5, trained with HF. Colour coding as positive (green) and negative (red) is based on ref. 34 . The overt stereotypes get substantially more positive as a result of HF training in GPT3.5, but there is no visible change in favourability for the covert stereotypes.

As a second potential way to resolve dialect prejudice in language models, we examined training with HF 49 , 62 . Specifically, we compared GPT3.5 (ref. 49 ) with GPT3 (ref. 63 ), its predecessor that was trained without using HF ( Methods ). Looking at the top adjectives associated overtly and covertly with African Americans by the two language models, we found that HF resulted in more-positive overt associations but had no clear qualitative effect on the covert associations (Fig. 4c ). This observation was confirmed by quantitative analyses: the inclusion of HF resulted in significantly weaker (no HF, m  = 0.135,  s  = 0.142; HF, m  = −0.119,  s  = 0.234;  t (16) = 2.6,  P  < 0.05) and more favourable (no HF, m  = 0.221,  s  = 0.399; HF, m  = 1.047,  s  = 0.387;  t (16) = −6.4,  P  < 0.001) overt stereotypes but produced no significant difference in the strength (no HF, m  = 0.153,  s  = 0.049; HF, m  = 0.187,  s  = 0.066;  t (16) = −1.2, P  = 0.3) or unfavourability (no HF, m  = −1.146, s  = 0.580; HF, m = −1.029, s  = 0.196; t (16) = −0.5, P  = 0.6) of covert stereotypes (Fig. 4b ). Thus, HF training weakens and ameliorates the overt stereotypes but has no clear effect on the covert stereotypes; in other words, it obscures the racist attitudes on the surface, but more subtle forms of racism, such as dialect prejudice, remain unaffected. This finding is underscored by the fact that the discrepancy between overt and covert stereotypes about African Americans is most pronounced for the two examined language models trained with human feedback (GPT3.5 and GPT4; see ‘Covert stereotypes in language models’). Furthermore, this finding again shows that there is a fundamental difference between overt and covert stereotypes in language models, and that mitigating the overt stereotypes does not automatically translate to mitigated covert stereotypes.

To sum up, neither scaling nor training with HF as applied today resolves the dialect prejudice. The fact that these two methods effectively mitigate racial performance disparities and overt racial stereotypes in language models indicates that this form of covert racism constitutes a different problem that is not addressed by current approaches for improving and aligning language models.

The key finding of this article is that language models maintain a form of covert racial prejudice against African Americans that is triggered by dialect features alone. In our experiments, we avoided overt mentions of race but drew from the racialized meanings of a stigmatized dialect, and could still find historically racist associations with African Americans. The implicit nature of this prejudice, that is, the fact it is about something that is not explicitly expressed in the text, makes it fundamentally different from the overt racial prejudice that has been the focus of previous research. Strikingly, the language models’ covert and overt racial prejudices are often in contradiction with each other, especially for the most recent language models that have been trained with HF (GPT3.5 and GPT4). These two language models obscure the racism, overtly associating African Americans with exclusively positive attributes (such as ‘brilliant’), but our results show that they covertly associate African Americans with exclusively negative attributes (such as ‘lazy’).

We argue that this paradoxical relation between the language models’ covert and overt racial prejudices manifests the inconsistent racial attitudes present in the contemporary society of the United States 8 , 64 . In the Jim Crow era, stereotypes about African Americans were overtly racist, but the normative climate after the civil rights movement made expressing explicitly racist views distasteful. As a result, racism acquired a covert character and continued to exist on a more subtle level. Thus, most white people nowadays report positive attitudes towards African Americans in surveys but perpetuate racial inequalities through their unconscious behaviour, such as their residential choices 65 . It has been shown that negative stereotypes persist, even if they are superficially rejected 66 , 67 . This ambivalence is reflected by the language models we analysed, which are overtly non-racist but covertly exhibit archaic stereotypes about African Americans, showing that they reproduce a colour-blind racist ideology. Crucially, the civil rights movement is generally seen as the period during which racism shifted from overt to covert 68 , 69 , and this is mirrored by our results: all the language models overtly agree the most with human stereotypes from after the civil rights movement, but covertly agree the most with human stereotypes from before the civil rights movement.

Our findings beg the question of how dialect prejudice got into the language models. Language models are pretrained on web-scraped corpora such as WebText 46 , C4 (ref. 48 ) and the Pile 70 , which encode raciolinguistic stereotypes about AAE. A drastic example of this is the use of ‘mock ebonics’ to parodize speakers of AAE 71 . Crucially, a growing body of evidence indicates that language models pick up prejudices present in the pretraining corpus 72 , 73 , 74 , 75 , which would explain how they become prejudiced against speakers of AAE, and why they show varying levels of dialect prejudice as a function of the pretraining corpus. However, the web also abounds with overt racism against African Americans 76 , 77 , so we wondered why the language models exhibit much less overt than covert racial prejudice. We argue that the reason for this is that the existence of overt racism is generally known to people 32 , which is not the case for covert racism 69 . Crucially, this also holds for the field of AI. The typical pipeline of training language models includes steps such as data filtering 48 and, more recently, HF training 62 that remove overt racial prejudice. As a result, much of the overt racism on the web does not end up in the language models. However, there are currently no measures in place to curtail covert racial prejudice when training language models. For example, common datasets for HF training 62 , 78 do not include examples that would train the language models to treat speakers of AAE and SAE equally. As a result, the covert racism encoded in the training data can make its way into the language models in an unhindered fashion. It is worth mentioning that the lack of awareness of covert racism also manifests during evaluation, where it is common to test language models for overt racism but not for covert racism 21 , 63 , 79 , 80 .

As well as the representational harms, by which we mean the pernicious representation of AAE speakers, we also found evidence for substantial allocational harms. This refers to the inequitable allocation of resources to AAE speakers 81 (Barocas et al., unpublished observations), and adds to known cases of language technology putting speakers of AAE at a disadvantage by performing worse on AAE 82 , 83 , 84 , 85 , 86 , 87 , 88 , misclassifying AAE as hate speech 81 , 89 , 90 , 91 or treating AAE as incorrect English 83 , 85 , 92 . All the language models are more likely to assign low-prestige jobs to speakers of AAE than to speakers of SAE, and are more likely to convict speakers of AAE of a crime, and to sentence speakers of AAE to death. Although the details of our tasks are constructed, the findings reveal real and urgent concerns because business and jurisdiction are areas for which AI systems involving language models are currently being developed or deployed. As a consequence, the dialect prejudice we uncovered might already be affecting AI decisions today, for example when a language model is used in application-screening systems to process background information, which might include social-media text. Worryingly, we also observe that larger language models and language models trained with HF exhibit stronger covert, but weaker overt, prejudice. Against the backdrop of continually growing language models and the increasingly widespread adoption of HF training, this has two risks: first, that language models, unbeknownst to developers and users, reach ever-increasing levels of covert prejudice; and second, that developers and users mistake ever-decreasing levels of overt prejudice (the only kind of prejudice currently tested for) for a sign that racism in language models has been solved. There is therefore a realistic possibility that the allocational harms caused by dialect prejudice in language models will increase further in the future, perpetuating the racial discrimination experienced by generations of African Americans.

Matched guise probing examines how strongly a language model associates certain tokens, such as personality traits, with AAE compared with SAE. AAE can be viewed as the treatment condition, whereas SAE functions as the control condition. We start by explaining the basic experimental unit of matched guise probing: measuring how a language model associates certain tokens with an individual text in AAE or SAE. Based on this, we introduce two different settings for matched guise probing (meaning-matched and non-meaning-matched), which are both inspired by the matched guise technique used in sociolinguistics 36 , 37 , 93 , 94 and provide complementary views on the attitudes a language model has about a dialect.

The basic experimental unit of matched guise probing is as follows. Let θ be a language model, t be a text in AAE or SAE, and x be a token of interest, typically a personality trait such as ‘intelligent’. We embed the text in a prompt v , for example v ( t ) = ‘a person who says t tends to be’, and compute P ( x ∣ v ( t );  θ ), which is the probability that θ assigns to x after processing v ( t ). We calculate P ( x ∣ v ( t );  θ ) for equally sized sets T a of AAE texts and T s of SAE texts, comparing various tokens from a set X as possible continuations. It has been shown that P ( x ∣ v ( t );  θ ) can be affected by the precise wording of v , so small modifications of v can have an unpredictable effect on the predictions made by the language model 21 , 95 , 96 . To account for this fact, we consider a set V containing several prompts ( Supplementary Information ). For all experiments, we have provided detailed analyses of variation across prompts in the  Supplementary Information .

We conducted matched guise probing in two settings. In the first setting, the texts in T a and T s formed pairs expressing the same underlying meaning, that is, the i -th text in T a (for example, ‘I be so happy when I wake up from a bad dream cus they be feelin too real’) matches the i -th text in T s (for example, ‘I am so happy when I wake up from a bad dream because they feel too real’). For this setting, we used the dataset from ref. 87 , which contains 2,019 AAE tweets together with their SAE translations. In the second setting, the texts in T a and T s did not form pairs, so they were independent texts in AAE and SAE. For this setting, we sampled 2,000 AAE and SAE tweets from the dataset in ref. 83 and used tweets strongly aligned with African Americans for AAE and tweets strongly aligned with white people for SAE ( Supplementary Information (‘Analysis of non-meaning-matched texts’), Supplementary Fig. 1 and Supplementary Table 3 ). In the  Supplementary Information , we include examples of AAE and SAE texts for both settings (Supplementary Tables 1 and 2 ). Tweets are well suited for matched guise probing because they are a rich source of dialectal variation 97 , 98 , 99 , especially for AAE 100 , 101 , 102 , but matched guise probing can be applied to any type of text. Although we do not consider it here, matched guise probing can in principle also be applied to speech-based models, with the potential advantage that dialectal variation on the phonetic level could be captured more directly, which would make it possible to study dialect prejudice specific to regional variants of AAE 23 . However, note that a great deal of phonetic variation is reflected orthographically in social-media texts 101 .

It is important to analyse both meaning-matched and non-meaning-matched settings because they capture different aspects of the attitudes a language model has about speakers of AAE. Controlling for the underlying meaning makes it possible to uncover differences in the attitudes of the language model that are solely due to grammatical and lexical features of AAE. However, it is known that various properties other than linguistic features correlate with dialect, such as topics 45 , and these might also influence the attitudes of the language model. Sidelining such properties bears the risk of underestimating the harms that dialect prejudice causes for speakers of AAE in the real world. For example, in a scenario in which a language model is used in the context of automated personnel selection to screen applicants’ social-media posts, the texts of two competing applicants typically differ in content and do not come in pairs expressing the same meaning. The relative advantages of using meaning-matched or non-meaning-matched data for matched guise probing are conceptually similar to the relative advantages of using the same or different speakers for the matched guise technique: more control in the former versus more naturalness in the latter setting 93 , 94 . Because the results obtained in both settings were consistent overall for all experiments, we aggregated them in the main article, but we analysed differences in detail in the  Supplementary Information .

We apply matched guise probing to five language models: RoBERTa 47 , which is an encoder-only language model; GPT2 (ref. 46 ), GPT3.5 (ref. 49 ) and GPT4 (ref. 50 ), which are decoder-only language models; and T5 (ref. 48 ), which is an encoder–decoder language model. For each language model, we examined one or more model versions: GPT2 (base), GPT2 (medium), GPT2 (large), GPT2 (xl), RoBERTa (base), RoBERTa (large), T5 (small), T5 (base), T5 (large), T5 (3b), GPT3.5 (text-davinci-003) and GPT4 (0613). Where we used several model versions per language model (GPT2, RoBERTa and T5), the model versions all had the same architecture and were trained on the same data but differed in their size. Furthermore, we note that GPT3.5 and GPT4 are the only language models examined in this paper that were trained with HF, specifically reinforcement learning from human feedback 103 . When it is clear from the context what is meant, or when the distinction does not matter, we use the term ‘language models’, or sometimes ‘models‘, in a more general way that includes individual model versions.

Regarding matched guise probing, the exact method for computing P ( x ∣ v ( t );  θ ) varies across language models and is detailed in the  Supplementary Information . For GPT4, for which computing P ( x ∣ v ( t );  θ ) for all tokens of interest was often not possible owing to restrictions imposed by the OpenAI application programming interface (API), we used a slightly modified method for some of the experiments, and this is also discussed in the  Supplementary Information . Similarly, some of the experiments could not be done for all language models because of model-specific constraints, which we highlight below. We note that there was at most one language model per experiment for which this was the case.

Covert-stereotype analysis

In the covert-stereotype analysis, the tokens x whose probabilities are measured for matched guise probing are trait adjectives from the Princeton Trilogy 29 , 30 , 31 , 34 , such as ‘aggressive’, ‘intelligent’ and ‘quiet’. We provide details about these adjectives in the  Supplementary Information . In the Princeton Trilogy, the adjectives are provided to participants in the form of a list, and participants are asked to select from the list the five adjectives that best characterize a given ethnic group, such as African Americans. The studies that we compare in this paper, which are the original Princeton Trilogy studies 29 , 30 , 31 and a more recent reinstallment 34 , all follow this general set-up and observe a gradual improvement of the expressed stereotypes about African Americans over time, but the exact interpretation of this finding is disputed 32 . Here, we used the adjectives from the Princeton Trilogy in the context of matched guise probing.

Specifically, we first computed P ( x ∣ v ( t );  θ ) for all adjectives, for both the AAE texts and the SAE texts. The method for aggregating the probabilities P ( x ∣ v ( t );  θ ) into association scores between an adjective x and AAE varies for the two settings of matched guise probing. Let \({t}_{{\rm{a}}}^{i}\) be the i -th AAE text in T a and \({t}_{{\rm{s}}}^{i}\) be the i -th SAE text in T s . In the meaning-matched setting, in which \({t}_{{\rm{a}}}^{i}\) and \({t}_{{\rm{s}}}^{i}\) express the same meaning, we computed the prompt-level association score for an adjective x as

where n = ∣ T a ∣ = ∣ T s ∣ . Thus, we measure for each pair of AAE and SAE texts the log ratio of the probability assigned to x following the AAE text and the probability assigned to x following the SAE text, and then average the log ratios of the probabilities across all pairs. In the non-meaning-matched setting, we computed the prompt-level association score for an adjective x as

where again n = ∣ T a ∣ = ∣ T s ∣ . In other words, we first compute the average probability assigned to a certain adjective x following all AAE texts and the average probability assigned to x following all SAE texts, and then measure the log ratio of these average probabilities. The interpretation of q ( x ;  v ,  θ ) is identical in both settings; q ( x ;  v , θ ) > 0 means that for a certain prompt v , the language model θ associates the adjective x more strongly with AAE than with SAE, and q ( x ;  v ,  θ ) < 0 means that for a certain prompt v , the language model θ associates the adjective x more strongly with SAE than with AAE. In the  Supplementary Information (‘Calibration’), we show that q ( x ;  v , θ ) is calibrated 104 , meaning that it does not depend on the prior probability that θ assigns to x in a neutral context.

The prompt-level association scores q ( x ;  v ,  θ ) are the basis for further analyses. We start by averaging q ( x ;  v ,  θ ) across model versions, prompts and settings, and this allows us to rank all adjectives according to their overall association with AAE for individual language models (Fig. 2a ). In this and the following adjective analyses, we focus on the five adjectives that exhibit the highest association with AAE, making it possible to consistently compare the language models with the results from the Princeton Trilogy studies, most of which do not report the full ranking of all adjectives. Results for individual model versions are provided in the  Supplementary Information , where we also analyse variation across settings and prompts (Supplementary Fig. 2 and Supplementary Table 4 ).

Next, we wanted to measure the agreement between language models and humans through time. To do so, we considered the five adjectives most strongly associated with African Americans for each study and evaluated how highly these adjectives are ranked by the language models. Specifically, let R l  = [ x 1 , …,  x ∣ X ∣ ] be the adjective ranking generated by a language model and \({R}_{h}^{5}\) = [ x 1 , …, x 5 ] be the ranking of the top five adjectives generated by the human participants in one of the Princeton Trilogy studies. A typical measure to evaluate how highly the adjectives from \({R}_{h}^{5}\) are ranked within R l is average precision, AP 51 . However, AP does not take the internal ranking of the adjectives in \({R}_{h}^{5}\) into account, which is not ideal for our purposes; for example, AP does not distinguish whether the top-ranked adjective for humans is on the first or on the fifth rank for a language model. To remedy this, we computed the mean average precision, MAP, for different subsets of \({R}_{h}^{5}\) ,

where \({R}_{h}^{i}\) denotes the top i adjectives from the human ranking. MAP = 1 if, and only if, the top five adjectives from \({R}_{h}^{5}\) have an exact one-to-one correspondence with the top five adjectives from R l , so, unlike AP, it takes the internal ranking of the adjectives into account. We computed an individual agreement score for each language model and prompt, so we average the q ( x ;  v ,  θ ) association scores for all model versions of a language model (GPT2, for example) and the two settings (meaning-matched and non-meaning-matched) to generate R l . Because the OpenAI API for GPT4 does not give access to the probabilities for all adjectives, we excluded GPT4 from this analysis. Results are presented in Fig. 2b and Extended Data Table 1 . In the Supplementary Information (‘Agreement analysis’), we analyse variation across model versions, settings and prompts (Supplementary Figs. 3 – 5 ).

To analyse the favourability of the stereotypes about African Americans, we drew from crowd-sourced favourability ratings collected previously 34 for the adjectives from the Princeton Trilogy that range between −2 (‘very unfavourable’, meaning very negative) and 2 (‘very favourable’, meaning very positive). For example, the favourability rating of ‘cruel’ is −1.81 and the favourability rating of ‘brilliant’ is 1.86. We computed the average favourability of the top five adjectives, weighting the favourability ratings of individual adjectives by their association scores with AAE and African Americans. More formally, let R 5 = [ x 1 , …, x 5 ] be the ranking of the top five adjectives generated by either a language model or humans. Furthermore, let f ( x ) be the favourability rating of adjective x as reported in ref. 34 , and let q ( x ) be the overall association score of adjective x with AAE or African Americans that is used to generate R 5 . For the Princeton Trilogy studies, q ( x ) is the percentage of participants who have assigned x to African Americans. For language models, q ( x ) is the average value of q ( x ;  v ,  θ ). We then computed the weighted average favourability, F , of the top five adjectives as

As a result of the weighting, the top-ranked adjective contributed more to the average than the second-ranked adjective, and so on. Results are presented in Extended Data Fig. 1 . To check for consistency, we also computed the average favourability of the top five adjectives without weighting, which yields similar results (Supplementary Fig. 6) .

Overt-stereotype analysis

The overt-stereotype analysis closely followed the methodology of the covert-stereotype analysis, with the difference being that instead of providing the language models with AAE and SAE texts, we provided them with overt descriptions of race (specifically, ‘Black’/‘black’ and ‘White’/‘white’). This methodological difference is also reflected by a different set of prompts ( Supplementary Information ). As a result, the experimental set-up is very similar to existing studies on overt racial bias in language models 4 , 7 . All other aspects of the analysis (such as computing adjective association scores) were identical to the analysis for covert stereotypes. This also holds for GPT4, for which we again could not conduct the agreement analysis.

We again present average results for the five language models in the main article. Results broken down for individual model versions are provided in the  Supplementary Information , where we also analyse variation across prompts (Supplementary Fig. 8 and Supplementary Table 5 ).

Employability analysis

The general set-up of the employability analysis was identical to the stereotype analyses: we fed text written in either AAE or SAE, embedded in prompts, into the language models and analysed the probabilities that they assigned to different continuation tokens. However, instead of trait adjectives, we considered occupations for X and also used a different set of prompts ( Supplementary Information ). We created a list of occupations, drawing from previously published lists 6 , 76 , 105 , 106 , 107 . We provided details about these occupations in the  Supplementary Information . We then computed association scores q ( x ;  v ,  θ ) between individual occupations x and AAE, following the same methodology as for computing adjective association scores, and ranked the occupations according to q ( x ;  v ,  θ ) for the language models. To probe the prestige associated with the occupations, we drew from a dataset of occupational prestige 105 that is based on the 2012 US General Social Survey and measures prestige on a scale from 1 (low prestige) to 9 (high prestige). For GPT4, we could not conduct the parts of the analysis that require scores for all occupations.

We again present average results for the five language models in the main article. Results for individual model versions are provided in the  Supplementary Information , where we also analyse variation across settings and prompts (Supplementary Tables 6 – 8 ).

Criminality analysis

The set-up of the criminality analysis is different from the previous experiments in that we did not compute aggregate association scores between certain tokens (such as trait adjectives) and AAE but instead asked the language models to make discrete decisions for each AAE and SAE text. More specifically, we simulated trials in which the language models were prompted to use AAE or SAE texts as evidence to make a judicial decision. We then aggregated the judicial decisions into summary statistics.

We conducted two experiments. In the first experiment, the language models were asked to determine whether a person accused of committing an unspecified crime should be acquitted or convicted. The only evidence provided to the language models was a statement made by the defendant, which was an AAE or SAE text. In the second experiment, the language models were asked to determine whether a person who committed first-degree murder should be sentenced to life or death. Similarly to the first (general conviction) experiment, the only evidence provided to the language models was a statement made by the defendant, which was an AAE or SAE text. Note that the AAE and SAE texts were the same texts as in the other experiments and did not come from a judicial context. Rather than testing how well language models could perform the tasks of predicting acquittal or conviction and life penalty or death penalty (an application of AI that we do not support), we were interested to see to what extent the decisions of the language models, made in the absence of any real evidence, were impacted by dialect. Although providing the language models with extra evidence as well as the AAE and SAE texts would have made the experiments more similar to real trials, it would have confounded the effect that dialect has on its own (the key effect of interest), so we did not consider this alternative set-up here. We focused on convictions and death penalties specifically because these are the two areas of the criminal justice system for which racial disparities have been described in the most robust and indisputable way: African Americans represent about 12% of the adult population of the United States, but they represent 33% of inmates 108 and more than 41% of people on death row 109 .

Methodologically, we used prompts that asked the language models to make a judicial decision ( Supplementary Information ). For a specific text, t , which is in AAE or SAE, we computed p ( x ∣ v ( t );  θ ) for the tokens x that correspond to the judicial outcomes of interest (‘acquitted’ or ‘convicted’, and ‘life’ or ‘death’). T5 does not contain the tokens ‘acquitted’ and ‘convicted’ in its vocabulary, so is was excluded from the conviction analysis. Because the language models might assign different prior probabilities to the outcome tokens, we calibrated them using their probabilities in a neutral context following v , meaning without text t 104 . Whichever outcome had the higher calibrated probability was counted as the decision. We aggregated the detrimental decisions (convictions and death penalties) and compared their rates (percentages) between AAE and SAE texts. An alternative approach would have been to generate the judicial decision by sampling from the language models, which would have allowed us to induce the language models to generate justifications of their decisions. However, this approach has three disadvantages: first, encoder-only language models such as RoBERTa do not lend themselves to text generation; second, it would have been necessary to apply jail-breaking for some of the language models, which can have unpredictable effects, especially in the context of socially sensitive tasks; and third, model-generated justifications are frequently not aligned with actual model behaviours 110 .

We again present average results on the level of language models in the main article. Results for individual model versions are provided in the  Supplementary Information , where we also analyse variation across settings and prompts (Supplementary Figs. 9 and 10 and Supplementary Tables 9 – 12 ).

Scaling analysis

In the scaling analysis, we examined whether increasing the model size alleviated the dialect prejudice. Because the content of the covert stereotypes is quite consistent and does not vary substantially between models with different sizes, we instead analysed the strength with which the language models maintain these stereotypes. We split the model versions of all language models into four groups according to their size using the thresholds of 1.5 × 10 8 , 3.5 × 10 8 and 1.0 × 10 10 (Extended Data Table 7 ).

To evaluate the familiarity of the models with AAE, we measured their perplexity on the datasets used for the two evaluation settings 83 , 87 . Perplexity is defined as the exponentiated average negative log-likelihood of a sequence of tokens 111 , with lower values indicating higher familiarity. Perplexity requires the language models to assign probabilities to full sequences of tokens, which is only the case for GPT2 and GPT3.5. For RoBERTa and T5, we resorted to pseudo-perplexity 112 as the measure of familiarity. Results are only comparable across language models with the same familiarity measure. We excluded GPT4 from this analysis because it is not possible to compute perplexity using the OpenAI API.

To evaluate the stereotype strength, we focused on the stereotypes about African Americans reported in ref. 29 , which the language models’ covert stereotypes agree with most strongly. We split the set of adjectives X into two subsets: the set of stereotypical adjectives in ref. 29 , X s , and the set of non-stereotypical adjectives, X n  =  X \ X s . For each model with a specific size, we then computed the average value of q ( x ;  v ,  θ ) for all adjectives in X s , which we denote as q s ( θ ), and the average value of q ( x ;  v ,  θ ) for all adjectives in X n , which we denote as q n ( θ ). The stereotype strength of a model θ , or more specifically the strength of the stereotypes about African Americans reported in ref. 29 , can then be computed as

A positive value of δ ( θ ) means that the model associates the stereotypical adjectives in X s more strongly with AAE than the non-stereotypical adjectives in X n , whereas a negative value of δ ( θ ) indicates anti-stereotypical associations, meaning that the model associates the non-stereotypical adjectives in X n more strongly with AAE than the stereotypical adjectives in X s . For the overt stereotypes, we used the same split of adjectives into X s and X n because we wanted to directly compare the strength with which models of a certain size endorse the stereotypes overtly as opposed to covertly. All other aspects of the experimental set-up are identical to the main analyses of covert and overt stereotypes.

HF analysis

We compared GPT3.5 (ref. 49 ; text-davinci-003) with GPT3 (ref. 63 ; davinci), its predecessor language model that was trained without HF. Similarly to other studies that compare these two language models 113 , this set-up allowed us to examine the effects of HF training as done for GPT3.5 in isolation. We compared the two language models in terms of favourability and stereotype strength. For favourability, we followed the methodology we used for the overt-stereotype analysis and evaluated the average weighted favourability of the top five adjectives associated with AAE. For stereotype strength, we followed the methodology we used for the scaling analysis and evaluated the average strength of the stereotypes as reported in ref.  29 .

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

All the datasets used in this study are publicly available. The dataset released as ref. 87 can be found at https://aclanthology.org/2020.emnlp-main.473/ . The dataset released as ref. 83 can be found at http://slanglab.cs.umass.edu/TwitterAAE/ . The human stereotype scores used for evaluation can be found in the published articles of the Princeton Trilogy studies 29 , 30 , 31 , 34 . The most recent of these articles 34 also contains the human favourability scores for the trait adjectives. The dataset of occupational prestige that we used for the employability analysis can be found in the corresponding paper 105 . The Brown Corpus 114 , which we used for the  Supplementary Information (‘Feature analysis’), can be found at http://www.nltk.org/nltk_data/ . The dataset containing the parallel AAE, Appalachian English and Indian English texts 115 , which we used in the  Supplementary Information (‘Alternative explanations’), can be found at https://huggingface.co/collections/SALT-NLP/value-nlp-666b60a7f76c14551bda4f52 .

Code availability

Our code is written in Python and draws on the Python packages openai and transformers for language-model probing, as well as numpy, pandas, scipy and statsmodels for data analysis. The feature analysis described in the  Supplementary Information also uses the VALUE Python library 88 . Our code is publicly available on GitHub at https://github.com/valentinhofmann/dialect-prejudice .

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Acknowledgements

V.H. was funded by the German Academic Scholarship Foundation. P.R.K. was funded in part by the Open Phil AI Fellowship. This work was also funded by the Hoffman-Yee Research Grants programme and the Stanford Institute for Human-Centered Artificial Intelligence. We thank A. Köksal, D. Hovy, K. Gligorić, M. Harrington, M. Casillas, M. Cheng and P. Röttger for feedback on an earlier version of the article.

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Extended data figures and tables

Extended data fig. 1 weighted average favourability of top stereotypes about african americans in humans and top overt as well as covert stereotypes about african americans in language models (lms)..

The overt stereotypes are more favourable than the reported human stereotypes, except for GPT2. The covert stereotypes are substantially less favourable than the least favourable reported human stereotypes from 1933. Results without weighting, which are very similar, are provided in Supplementary Fig. 6 .

Extended Data Fig. 2 Prestige of occupations associated with AAE (positive values) versus SAE (negative values), for individual language models.

The shaded areas show 95% confidence bands around the regression lines. The association with AAE versus SAE is negatively correlated with occupational prestige, for all language models. We cannot conduct this analysis with GPT4 since the OpenAI API does not give access to the probabilities for all occupations.

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Hofmann, V., Kalluri, P.R., Jurafsky, D. et al. AI generates covertly racist decisions about people based on their dialect. Nature 633 , 147–154 (2024). https://doi.org/10.1038/s41586-024-07856-5

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GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation

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Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research. Our analysis of a selection of questionable GPT-fabricated scientific papers found in Google Scholar shows that many are about applied, often controversial topics susceptible to disinformation: the environment, health, and computing. The resulting enhanced potential for malicious manipulation of society’s evidence base, particularly in politically divisive domains, is a growing concern.

Swedish School of Library and Information Science, University of Borås, Sweden

Department of Arts and Cultural Sciences, Lund University, Sweden

Division of Environmental Communication, Swedish University of Agricultural Sciences, Sweden

Research Questions

• Where are questionable publications produced with generative pre-trained transformers (GPTs) that can be found via Google Scholar published or deposited?
• What are the main characteristics of these publications in relation to predominant subject categories?
• How are these publications spread in the research infrastructure for scholarly communication?
• How is the role of the scholarly communication infrastructure challenged in maintaining public trust in science and evidence through inappropriate use of generative AI?

research note Summary

• A sample of scientific papers with signs of GPT-use found on Google Scholar was retrieved, downloaded, and analyzed using a combination of qualitative coding and descriptive statistics. All papers contained at least one of two common phrases returned by conversational agents that use large language models (LLM) like OpenAI’s ChatGPT. Google Search was then used to determine the extent to which copies of questionable, GPT-fabricated papers were available in various repositories, archives, citation databases, and social media platforms.
• Roughly two-thirds of the retrieved papers were found to have been produced, at least in part, through undisclosed, potentially deceptive use of GPT. The majority (57%) of these questionable papers dealt with policy-relevant subjects (i.e., environment, health, computing), susceptible to influence operations. Most were available in several copies on different domains (e.g., social media, archives, and repositories).
• Two main risks arise from the increasingly common use of GPT to (mass-)produce fake, scientific publications. First, the abundance of fabricated “studies” seeping into all areas of the research infrastructure threatens to overwhelm the scholarly communication system and jeopardize the integrity of the scientific record. A second risk lies in the increased possibility that convincingly scientific-looking content was in fact deceitfully created with AI tools and is also optimized to be retrieved by publicly available academic search engines, particularly Google Scholar. However small, this possibility and awareness of it risks undermining the basis for trust in scientific knowledge and poses serious societal risks.

Implications

The use of ChatGPT to generate text for academic papers has raised concerns about research integrity. Discussion of this phenomenon is ongoing in editorials, commentaries, opinion pieces, and on social media (Bom, 2023; Stokel-Walker, 2024; Thorp, 2023). There are now several lists of papers suspected of GPT misuse, and new papers are constantly being added. 1 See for example Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . While many legitimate uses of GPT for research and academic writing exist (Huang & Tan, 2023; Kitamura, 2023; Lund et al., 2023), its undeclared use—beyond proofreading—has potentially far-reaching implications for both science and society, but especially for their relationship. It, therefore, seems important to extend the discussion to one of the most accessible and well-known intermediaries between science, but also certain types of misinformation, and the public, namely Google Scholar, also in response to the legitimate concerns that the discussion of generative AI and misinformation needs to be more nuanced and empirically substantiated  (Simon et al., 2023).

Google Scholar, https://scholar.google.com , is an easy-to-use academic search engine. It is available for free, and its index is extensive (Gusenbauer & Haddaway, 2020). It is also often touted as a credible source for academic literature and even recommended in library guides, by media and information literacy initiatives, and fact checkers (Tripodi et al., 2023). However, Google Scholar lacks the transparency and adherence to standards that usually characterize citation databases. Instead, Google Scholar uses automated crawlers, like Google’s web search engine (Martín-Martín et al., 2021), and the inclusion criteria are based on primarily technical standards, allowing any individual author—with or without scientific affiliation—to upload papers to be indexed (Google Scholar Help, n.d.). It has been shown that Google Scholar is susceptible to manipulation through citation exploits (Antkare, 2020) and by providing access to fake scientific papers (Dadkhah et al., 2017). A large part of Google Scholar’s index consists of publications from established scientific journals or other forms of quality-controlled, scholarly literature. However, the index also contains a large amount of gray literature, including student papers, working papers, reports, preprint servers, and academic networking sites, as well as material from so-called “questionable” academic journals, including paper mills. The search interface does not offer the possibility to filter the results meaningfully by material type, publication status, or form of quality control, such as limiting the search to peer-reviewed material.

To understand the occurrence of ChatGPT (co-)authored work in Google Scholar’s index, we scraped it for publications, including one of two common ChatGPT responses (see Appendix A) that we encountered on social media and in media reports (DeGeurin, 2024). The results of our descriptive statistical analyses showed that around 62% did not declare the use of GPTs. Most of these GPT-fabricated papers were found in non-indexed journals and working papers, but some cases included research published in mainstream scientific journals and conference proceedings. 2 Indexed journals mean scholarly journals indexed by abstract and citation databases such as Scopus and Web of Science, where the indexation implies journals with high scientific quality. Non-indexed journals are journals that fall outside of this indexation. More than half (57%) of these GPT-fabricated papers concerned policy-relevant subject areas susceptible to influence operations. To avoid increasing the visibility of these publications, we abstained from referencing them in this research note. However, we have made the data available in the Harvard Dataverse repository.

The publications were related to three issue areas—health (14.5%), environment (19.5%) and computing (23%)—with key terms such “healthcare,” “COVID-19,” or “infection”for health-related papers, and “analysis,” “sustainable,” and “global” for environment-related papers. In several cases, the papers had titles that strung together general keywords and buzzwords, thus alluding to very broad and current research. These terms included “biology,” “telehealth,” “climate policy,” “diversity,” and “disrupting,” to name just a few.  While the study’s scope and design did not include a detailed analysis of which parts of the articles included fabricated text, our dataset did contain the surrounding sentences for each occurrence of the suspicious phrases that formed the basis for our search and subsequent selection. Based on that, we can say that the phrases occurred in most sections typically found in scientific publications, including the literature review, methods, conceptual and theoretical frameworks, background, motivation or societal relevance, and even discussion. This was confirmed during the joint coding, where we read and discussed all articles. It became clear that not just the text related to the telltale phrases was created by GPT, but that almost all articles in our sample of questionable articles likely contained traces of GPT-fabricated text everywhere.

Evidence hacking and backfiring effects

Generative pre-trained transformers (GPTs) can be used to produce texts that mimic scientific writing. These texts, when made available online—as we demonstrate—leak into the databases of academic search engines and other parts of the research infrastructure for scholarly communication. This development exacerbates problems that were already present with less sophisticated text generators (Antkare, 2020; Cabanac & Labbé, 2021). Yet, the public release of ChatGPT in 2022, together with the way Google Scholar works, has increased the likelihood of lay people (e.g., media, politicians, patients, students) coming across questionable (or even entirely GPT-fabricated) papers and other problematic research findings. Previous research has emphasized that the ability to determine the value and status of scientific publications for lay people is at stake when misleading articles are passed off as reputable (Haider & Åström, 2017) and that systematic literature reviews risk being compromised (Dadkhah et al., 2017). It has also been highlighted that Google Scholar, in particular, can be and has been exploited for manipulating the evidence base for politically charged issues and to fuel conspiracy narratives (Tripodi et al., 2023). Both concerns are likely to be magnified in the future, increasing the risk of what we suggest calling evidence hacking —the strategic and coordinated malicious manipulation of society’s evidence base.

The authority of quality-controlled research as evidence to support legislation, policy, politics, and other forms of decision-making is undermined by the presence of undeclared GPT-fabricated content in publications professing to be scientific. Due to the large number of archives, repositories, mirror sites, and shadow libraries to which they spread, there is a clear risk that GPT-fabricated, questionable papers will reach audiences even after a possible retraction. There are considerable technical difficulties involved in identifying and tracing computer-fabricated papers (Cabanac & Labbé, 2021; Dadkhah et al., 2023; Jones, 2024), not to mention preventing and curbing their spread and uptake.

However, as the rise of the so-called anti-vaxx movement during the COVID-19 pandemic and the ongoing obstruction and denial of climate change show, retracting erroneous publications often fuels conspiracies and increases the following of these movements rather than stopping them. To illustrate this mechanism, climate deniers frequently question established scientific consensus by pointing to other, supposedly scientific, studies that support their claims. Usually, these are poorly executed, not peer-reviewed, based on obsolete data, or even fraudulent (Dunlap & Brulle, 2020). A similar strategy is successful in the alternative epistemic world of the global anti-vaccination movement (Carrion, 2018) and the persistence of flawed and questionable publications in the scientific record already poses significant problems for health research, policy, and lawmakers, and thus for society as a whole (Littell et al., 2024). Considering that a person’s support for “doing your own research” is associated with increased mistrust in scientific institutions (Chinn & Hasell, 2023), it will be of utmost importance to anticipate and consider such backfiring effects already when designing a technical solution, when suggesting industry or legal regulation, and in the planning of educational measures.

Recommendations

Solutions should be based on simultaneous considerations of technical, educational, and regulatory approaches, as well as incentives, including social ones, across the entire research infrastructure. Paying attention to how these approaches and incentives relate to each other can help identify points and mechanisms for disruption. Recognizing fraudulent academic papers must happen alongside understanding how they reach their audiences and what reasons there might be for some of these papers successfully “sticking around.” A possible way to mitigate some of the risks associated with GPT-fabricated scholarly texts finding their way into academic search engine results would be to provide filtering options for facets such as indexed journals, gray literature, peer-review, and similar on the interface of publicly available academic search engines. Furthermore, evaluation tools for indexed journals 3 Such as LiU Journal CheckUp, https://ep.liu.se/JournalCheckup/default.aspx?lang=eng . could be integrated into the graphical user interfaces and the crawlers of these academic search engines. To enable accountability, it is important that the index (database) of such a search engine is populated according to criteria that are transparent, open to scrutiny, and appropriate to the workings of  science and other forms of academic research. Moreover, considering that Google Scholar has no real competitor, there is a strong case for establishing a freely accessible, non-specialized academic search engine that is not run for commercial reasons but for reasons of public interest. Such measures, together with educational initiatives aimed particularly at policymakers, science communicators, journalists, and other media workers, will be crucial to reducing the possibilities for and effects of malicious manipulation or evidence hacking. It is important not to present this as a technical problem that exists only because of AI text generators but to relate it to the wider concerns in which it is embedded. These range from a largely dysfunctional scholarly publishing system (Haider & Åström, 2017) and academia’s “publish or perish” paradigm to Google’s near-monopoly and ideological battles over the control of information and ultimately knowledge. Any intervention is likely to have systemic effects; these effects need to be considered and assessed in advance and, ideally, followed up on.

Our study focused on a selection of papers that were easily recognizable as fraudulent. We used this relatively small sample as a magnifying glass to examine, delineate, and understand a problem that goes beyond the scope of the sample itself, which however points towards larger concerns that require further investigation. The work of ongoing whistleblowing initiatives 4 Such as Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . , recent media reports of journal closures (Subbaraman, 2024), or GPT-related changes in word use and writing style (Cabanac et al., 2021; Stokel-Walker, 2024) suggest that we only see the tip of the iceberg. There are already more sophisticated cases (Dadkhah et al., 2023) as well as cases involving fabricated images (Gu et al., 2022). Our analysis shows that questionable and potentially manipulative GPT-fabricated papers permeate the research infrastructure and are likely to become a widespread phenomenon. Our findings underline that the risk of fake scientific papers being used to maliciously manipulate evidence (see Dadkhah et al., 2017) must be taken seriously. Manipulation may involve undeclared automatic summaries of texts, inclusion in literature reviews, explicit scientific claims, or the concealment of errors in studies so that they are difficult to detect in peer review. However, the mere possibility of these things happening is a significant risk in its own right that can be strategically exploited and will have ramifications for trust in and perception of science. Society’s methods of evaluating sources and the foundations of media and information literacy are under threat and public trust in science is at risk of further erosion, with far-reaching consequences for society in dealing with information disorders. To address this multifaceted problem, we first need to understand why it exists and proliferates.

Finding 1: 139 GPT-fabricated, questionable papers were found and listed as regular results on the Google Scholar results page. Non-indexed journals dominate.

Most questionable papers we found were in non-indexed journals or were working papers, but we did also find some in established journals, publications, conferences, and repositories. We found a total of 139 papers with a suspected deceptive use of ChatGPT or similar LLM applications (see Table 1). Out of these, 19 were in indexed journals, 89 were in non-indexed journals, 19 were student papers found in university databases, and 12 were working papers (mostly in preprint databases). Table 1 divides these papers into categories. Health and environment papers made up around 34% (47) of the sample. Of these, 66% were present in non-indexed journals.

Finding 2: GPT-fabricated, questionable papers are disseminated online, permeating the research infrastructure for scholarly communication, often in multiple copies. Applied topics with practical implications dominate.

The 20 papers concerning health-related issues are distributed across 20 unique domains, accounting for 46 URLs. The 27 papers dealing with environmental issues can be found across 26 unique domains, accounting for 56 URLs.  Most of the identified papers exist in multiple copies and have already spread to several archives, repositories, and social media. It would be difficult, or impossible, to remove them from the scientific record.

As apparent from Table 2, GPT-fabricated, questionable papers are seeping into most parts of the online research infrastructure for scholarly communication. Platforms on which identified papers have appeared include ResearchGate, ORCiD, Journal of Population Therapeutics and Clinical Pharmacology (JPTCP), Easychair, Frontiers, the Institute of Electrical and Electronics Engineer (IEEE), and X/Twitter. Thus, even if they are retracted from their original source, it will prove very difficult to track, remove, or even just mark them up on other platforms. Moreover, unless regulated, Google Scholar will enable their continued and most likely unlabeled discoverability.

A word rain visualization (Centre for Digital Humanities Uppsala, 2023), which combines word prominences through TF-IDF 5 Term frequency–inverse document frequency , a method for measuring the significance of a word in a document compared to its frequency across all documents in a collection. scores with semantic similarity of the full texts of our sample of GPT-generated articles that fall into the “Environment” and “Health” categories, reflects the two categories in question. However, as can be seen in Figure 1, it also reveals overlap and sub-areas. The y-axis shows word prominences through word positions and font sizes, while the x-axis indicates semantic similarity. In addition to a certain amount of overlap, this reveals sub-areas, which are best described as two distinct events within the word rain. The event on the left bundles terms related to the development and management of health and healthcare with “challenges,” “impact,” and “potential of artificial intelligence”emerging as semantically related terms. Terms related to research infrastructures, environmental, epistemic, and technological concepts are arranged further down in the same event (e.g., “system,” “climate,” “understanding,” “knowledge,” “learning,” “education,” “sustainable”). A second distinct event further to the right bundles terms associated with fish farming and aquatic medicinal plants, highlighting the presence of an aquaculture cluster.  Here, the prominence of groups of terms such as “used,” “model,” “-based,” and “traditional” suggests the presence of applied research on these topics. The two events making up the word rain visualization, are linked by a less dominant but overlapping cluster of terms related to “energy” and “water.”

The bar chart of the terms in the paper subset (see Figure 2) complements the word rain visualization by depicting the most prominent terms in the full texts along the y-axis. Here, word prominences across health and environment papers are arranged descendingly, where values outside parentheses are TF-IDF values (relative frequencies) and values inside parentheses are raw term frequencies (absolute frequencies).

Finding 3: Google Scholar presents results from quality-controlled and non-controlled citation databases on the same interface, providing unfiltered access to GPT-fabricated questionable papers.

Google Scholar’s central position in the publicly accessible scholarly communication infrastructure, as well as its lack of standards, transparency, and accountability in terms of inclusion criteria, has potentially serious implications for public trust in science. This is likely to exacerbate the already-known potential to exploit Google Scholar for evidence hacking (Tripodi et al., 2023) and will have implications for any attempts to retract or remove fraudulent papers from their original publication venues. Any solution must consider the entirety of the research infrastructure for scholarly communication and the interplay of different actors, interests, and incentives.

We searched and scraped Google Scholar using the Python library Scholarly (Cholewiak et al., 2023) for papers that included specific phrases known to be common responses from ChatGPT and similar applications with the same underlying model (GPT3.5 or GPT4): “as of my last knowledge update” and/or “I don’t have access to real-time data” (see Appendix A). This facilitated the identification of papers that likely used generative AI to produce text, resulting in 227 retrieved papers. The papers’ bibliographic information was automatically added to a spreadsheet and downloaded into Zotero. 6 An open-source reference manager, https://zotero.org .

We employed multiple coding (Barbour, 2001) to classify the papers based on their content. First, we jointly assessed whether the paper was suspected of fraudulent use of ChatGPT (or similar) based on how the text was integrated into the papers and whether the paper was presented as original research output or the AI tool’s role was acknowledged. Second, in analyzing the content of the papers, we continued the multiple coding by classifying the fraudulent papers into four categories identified during an initial round of analysis—health, environment, computing, and others—and then determining which subjects were most affected by this issue (see Table 1). Out of the 227 retrieved papers, 88 papers were written with legitimate and/or declared use of GPTs (i.e., false positives, which were excluded from further analysis), and 139 papers were written with undeclared and/or fraudulent use (i.e., true positives, which were included in further analysis). The multiple coding was conducted jointly by all authors of the present article, who collaboratively coded and cross-checked each other’s interpretation of the data simultaneously in a shared spreadsheet file. This was done to single out coding discrepancies and settle coding disagreements, which in turn ensured methodological thoroughness and analytical consensus (see Barbour, 2001). Redoing the category coding later based on our established coding schedule, we achieved an intercoder reliability (Cohen’s kappa) of 0.806 after eradicating obvious differences.

The ranking algorithm of Google Scholar prioritizes highly cited and older publications (Martín-Martín et al., 2016). Therefore, the position of the articles on the search engine results pages was not particularly informative, considering the relatively small number of results in combination with the recency of the publications. Only the query “as of my last knowledge update” had more than two search engine result pages. On those, questionable articles with undeclared use of GPTs were evenly distributed across all result pages (min: 4, max: 9, mode: 8), with the proportion of undeclared use being slightly higher on average on later search result pages.

To understand how the papers making fraudulent use of generative AI were disseminated online, we programmatically searched for the paper titles (with exact string matching) in Google Search from our local IP address (see Appendix B) using the googlesearch – python library(Vikramaditya, 2020). We manually verified each search result to filter out false positives—results that were not related to the paper—and then compiled the most prominent URLs by field. This enabled the identification of other platforms through which the papers had been spread. We did not, however, investigate whether copies had spread into SciHub or other shadow libraries, or if they were referenced in Wikipedia.

We used descriptive statistics to count the prevalence of the number of GPT-fabricated papers across topics and venues and top domains by subject. The pandas software library for the Python programming language (The pandas development team, 2024) was used for this part of the analysis. Based on the multiple coding, paper occurrences were counted in relation to their categories, divided into indexed journals, non-indexed journals, student papers, and working papers. The schemes, subdomains, and subdirectories of the URL strings were filtered out while top-level domains and second-level domains were kept, which led to normalizing domain names. This, in turn, allowed the counting of domain frequencies in the environment and health categories. To distinguish word prominences and meanings in the environment and health-related GPT-fabricated questionable papers, a semantically-aware word cloud visualization was produced through the use of a word rain (Centre for Digital Humanities Uppsala, 2023) for full-text versions of the papers. Font size and y-axis positions indicate word prominences through TF-IDF scores for the environment and health papers (also visualized in a separate bar chart with raw term frequencies in parentheses), and words are positioned along the x-axis to reflect semantic similarity (Skeppstedt et al., 2024), with an English Word2vec skip gram model space (Fares et al., 2017). An English stop word list was used, along with a manually produced list including terms such as “https,” “volume,” or “years.”

• Artificial Intelligence
• / Search engines

Cite this Essay

Haider, J., Söderström, K. R., Ekström, B., & Rödl, M. (2024). GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation. Harvard Kennedy School (HKS) Misinformation Review . https://doi.org/10.37016/mr-2020-156

• / Appendix B

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This research has been supported by Mistra, the Swedish Foundation for Strategic Environmental Research, through the research program Mistra Environmental Communication (Haider, Ekström, Rödl) and the Marcus and Amalia Wallenberg Foundation [2020.0004] (Söderström).

Competing Interests

The authors declare no competing interests.

The research described in this article was carried out under Swedish legislation. According to the relevant EU and Swedish legislation (2003:460) on the ethical review of research involving humans (“Ethical Review Act”), the research reported on here is not subject to authorization by the Swedish Ethical Review Authority (“etikprövningsmyndigheten”) (SRC, 2017).

This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author and source are properly credited.

Data Availability

All data needed to replicate this study are available at the Harvard Dataverse: https://doi.org/10.7910/DVN/WUVD8X

Acknowledgements

The authors wish to thank two anonymous reviewers for their valuable comments on the article manuscript as well as the editorial group of Harvard Kennedy School (HKS) Misinformation Review for their thoughtful feedback and input.