research paper writing using ai

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Unlock Your Research Potential with Jenni AI

Are you an academic researcher seeking assistance in your quest to create remarkable research and scientific papers? Jenni AI is here to empower you, not by doing the work for you, but by enhancing your research process and efficiency. Explore how Jenni AI can elevate your academic writing experience and accelerate your journey toward academic excellence.

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Boost Productivity

Save time and effort with AI assistance, allowing you to focus on critical aspects of your research. Craft well-structured, scholarly papers with ease, backed by AI-driven recommendations and real-time feedback.

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Overcome Writer's Block

Get inspiration and generate ideas to break through the barriers of writer's block. Jenni AI generates research prompts tailored to your subject, sparking your creativity and guiding your research.

Unlock Your Full Writing Potential

Jenni AI is designed to boost your academic writing capabilities, not as a shortcut, but as a tool to help you overcome writer's block and enhance your research papers' quality.

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Properly format citations and references, ensuring your work meets academic standards. Jenni AI offers accurate and hassle-free citation assistance, including APA, MLA, and Chicago styles.

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Jenni AI is committed to upholding academic integrity. Our tool is designed to assist, not replace, your effort in research and writing. We strongly discourage any unethical use. We're dedicated to helping you excel in a responsible and ethical manner.

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Let Jenni AI handle your citations and references in multiple styles, saving you valuable time.

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Frequently asked questions

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Choosing the Right Academic Writing Companion

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Enhanced Writing Style

Jenni AI excels in refining your writing style and enhancing sentence structure to meet academic standards with precision.

Competitors may offer basic grammar checking but often fall short in fine-tuning the nuances of writing style.

Academic Writing Process

Jenni AI streamlines the academic writing process, offering real-time assistance in content generation and thorough proofreading.

Competitors may not provide the same level of support, leaving users to navigate the intricacies of academic writing on their own.

Scientific Writing

Jenni AI is tailored for scientific writing, ensuring the clarity and precision needed in research articles and reports.

Competitors may offer generic writing tools that lack the specialized features required for scientific writing.

Original Content and Academic Integrity

Jenni AI's AI algorithms focus on producing original content while preventing plagiarism, ensuring academic integrity.

Competitors may not provide robust plagiarism checks, potentially compromising academic integrity.

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The best AI tools for research papers and academic research (Literature review, grants, PDFs and more)

As our collective understanding and application of artificial intelligence (AI) continues to evolve, so too does the realm of academic research. Some people are scared by it while others are openly embracing the change. 

Make no mistake, AI is here to stay!

Instead of tirelessly scrolling through hundreds of PDFs, a powerful AI tool comes to your rescue, summarizing key information in your research papers. Instead of manually combing through citations and conducting literature reviews, an AI research assistant proficiently handles these tasks.

These aren’t futuristic dreams, but today’s reality. Welcome to the transformative world of AI-powered research tools!

This blog post will dive deeper into these tools, providing a detailed review of how AI is revolutionizing academic research. We’ll look at the tools that can make your literature review process less tedious, your search for relevant papers more precise, and your overall research process more efficient and fruitful.

I know that I wish these were around during my time in academia. It can be quite confronting when trying to work out what ones you should and shouldn’t use. A new one seems to be coming out every day!

Here is everything you need to know about AI for academic research and the ones I have personally trialed on my YouTube channel.

My Top AI Tools for Researchers and Academics – Tested and Reviewed!

There are many different tools now available on the market but there are only a handful that are specifically designed with researchers and academics as their primary user.

These are my recommendations that’ll cover almost everything that you’ll want to do:

Want to find out all of the tools that you could use?

Here they are, below:

AI literature search and mapping – best AI tools for a literature review – elicit and more

Harnessing AI tools for literature reviews and mapping brings a new level of efficiency and precision to academic research. No longer do you have to spend hours looking in obscure research databases to find what you need!

AI-powered tools like Semantic Scholar and elicit.org use sophisticated search engines to quickly identify relevant papers.

They can mine key information from countless PDFs, drastically reducing research time. You can even search with semantic questions, rather than having to deal with key words etc.

With AI as your research assistant, you can navigate the vast sea of scientific research with ease, uncovering citations and focusing on academic writing. It’s a revolutionary way to take on literature reviews.

• Elicit –  https://elicit.org
• Litmaps –  https://www.litmaps.com
• Research rabbit – https://www.researchrabbit.ai/
• Connected Papers –  https://www.connectedpapers.com/
• Supersymmetry.ai: https://www.supersymmetry.ai
• Semantic Scholar: https://www.semanticscholar.org
• Laser AI –  https://laser.ai/
• Inciteful –  https://inciteful.xyz/
• Scite –  https://scite.ai/
• System –  https://www.system.com

If you like AI tools you may want to check out this article:

• How to get ChatGPT to write an essay [The prompts you need]

AI-powered research tools and AI for academic research

AI research tools, like Concensus, offer immense benefits in scientific research. Here are the general AI-powered tools for academic research. 

These AI-powered tools can efficiently summarize PDFs, extract key information, and perform AI-powered searches, and much more. Some are even working towards adding your own data base of files to ask questions from. 

Tools like scite even analyze citations in depth, while AI models like ChatGPT elicit new perspectives.

The result? The research process, previously a grueling endeavor, becomes significantly streamlined, offering you time for deeper exploration and understanding. Say goodbye to traditional struggles, and hello to your new AI research assistant!

• Consensus –  https://consensus.app/
• Iris AI –  https://iris.ai/
• Research Buddy –  https://researchbuddy.app/
• Mirror Think – https://mirrorthink.ai

AI for reading peer-reviewed papers easily

Using AI tools like Explain paper and Humata can significantly enhance your engagement with peer-reviewed papers. I always used to skip over the details of the papers because I had reached saturation point with the information coming in. 

These AI-powered research tools provide succinct summaries, saving you from sifting through extensive PDFs – no more boring nights trying to figure out which papers are the most important ones for you to read!

They not only facilitate efficient literature reviews by presenting key information, but also find overlooked insights.

With AI, deciphering complex citations and accelerating research has never been easier.

• Aetherbrain – https://aetherbrain.ai
• Explain Paper – https://www.explainpaper.com
• Chat PDF – https://www.chatpdf.com
• Humata – https://www.humata.ai/
• Lateral AI –  https://www.lateral.io/
• Paper Brain –  https://www.paperbrain.study/
• Scholarcy – https://www.scholarcy.com/
• SciSpace Copilot –  https://typeset.io/
• Unriddle – https://www.unriddle.ai/
• Sharly.ai – https://www.sharly.ai/
• Open Read –  https://www.openread.academy

AI for scientific writing and research papers

In the ever-evolving realm of academic research, AI tools are increasingly taking center stage.

Enter Paper Wizard, Jenny.AI, and Wisio – these groundbreaking platforms are set to revolutionize the way we approach scientific writing.

Together, these AI tools are pioneering a new era of efficient, streamlined scientific writing.

• Jenny.AI – https://jenni.ai/ (20% off with code ANDY20)
• Yomu – https://www.yomu.ai
• Wisio – https://www.wisio.app

AI academic editing tools

In the realm of scientific writing and editing, artificial intelligence (AI) tools are making a world of difference, offering precision and efficiency like never before. Consider tools such as Paper Pal, Writefull, and Trinka.

Together, these tools usher in a new era of scientific writing, where AI is your dedicated partner in the quest for impeccable composition.

• PaperPal –  https://paperpal.com/
• Writefull –  https://www.writefull.com/
• Trinka –  https://www.trinka.ai/

AI tools for grant writing

In the challenging realm of science grant writing, two innovative AI tools are making waves: Granted AI and Grantable.

These platforms are game-changers, leveraging the power of artificial intelligence to streamline and enhance the grant application process.

Granted AI, an intelligent tool, uses AI algorithms to simplify the process of finding, applying, and managing grants. Meanwhile, Grantable offers a platform that automates and organizes grant application processes, making it easier than ever to secure funding.

Together, these tools are transforming the way we approach grant writing, using the power of AI to turn a complex, often arduous task into a more manageable, efficient, and successful endeavor.

• Granted AI – https://grantedai.com/
• Grantable – https://grantable.co/

Best free AI research tools

There are many different tools online that are emerging for researchers to be able to streamline their research processes. There’s no need for convience to come at a massive cost and break the bank.

The best free ones at time of writing are:

• Elicit – https://elicit.org
• Connected Papers – https://www.connectedpapers.com/
• Litmaps – https://www.litmaps.com ( 10% off Pro subscription using the code “STAPLETON” )
• Consensus – https://consensus.app/

Wrapping up

The integration of artificial intelligence in the world of academic research is nothing short of revolutionary.

With the array of AI tools we’ve explored today – from research and mapping, literature review, peer-reviewed papers reading, scientific writing, to academic editing and grant writing – the landscape of research is significantly transformed.

The advantages that AI-powered research tools bring to the table – efficiency, precision, time saving, and a more streamlined process – cannot be overstated.

These AI research tools aren’t just about convenience; they are transforming the way we conduct and comprehend research.

They liberate researchers from the clutches of tedium and overwhelm, allowing for more space for deep exploration, innovative thinking, and in-depth comprehension.

Whether you’re an experienced academic researcher or a student just starting out, these tools provide indispensable aid in your research journey.

And with a suite of free AI tools also available, there is no reason to not explore and embrace this AI revolution in academic research.

We are on the precipice of a new era of academic research, one where AI and human ingenuity work in tandem for richer, more profound scientific exploration. The future of research is here, and it is smart, efficient, and AI-powered.

Before we get too excited however, let us remember that AI tools are meant to be our assistants, not our masters. As we engage with these advanced technologies, let’s not lose sight of the human intellect, intuition, and imagination that form the heart of all meaningful research. Happy researching!

Thank you to Ivan Aguilar – Ph.D. Student at SFU (Simon Fraser University), for starting this list for me!

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

Thank you for visiting Academia Insider.

We are here to help you navigate Academia as painlessly as possible. We are supported by our readers and by visiting you are helping us earn a small amount through ads and affiliate revenue - Thank you!

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• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

Generative ai and writing.

• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• USC Libraries Tutorials and Other Guides
• Bibliography

Research Writing and Generative AI Large Language Models

A rapidly evolving phenomenon impacting higher education is the availability of generative artificial intelligence systems [such as Chat Generative Pre-trained Transformer or ChatGPT]. These systems have been developed from scanning text from millions of books, web sites, and other sources to enable algorithms within the system to learn patterns in how words and sentences are constructed. This allows the platforms to respond to a broad range of questions and prompts, generate stories, compose essays, create lists, and more. Generative AI systems are not actually thinking or understanding like a human, but they are good at mimicking written text based on what it has learned from the sources of input data used to build and enhance its artificial intelligence algorithms, protocols, and standards.

As such, generative AI systems [a.k.a., “Large Language Models”] have emerged , depending on one’s perspective, as either a threat or an opportunity in how faculty create or modify class assignments and how students approach the task of writing a college-level research paper. We are in the early stages of understanding how LLMs may impact learning outcomes associated with information literacy, i.e., fluency in effectively applying the skills needed to effectively identify, gather, organize, critically evaluate, interpret, and report information. However, before this is fully understood, Large Language Models w ill continue to improve and become more sophisticated, as will academic integrity detection programs used to identify AI generated text in student papers.

When assigned to write a research paper, it is up to your professor if using ChatGTP is permitted or not. Some professors embrace using these systems as part of an in-class writing exercise to help understand their limitations, while others will warn against its use because of their current defects and biases. That said, the future of information seeking using LLMs means that the intellectual spaces associated with research and writing will likely collapse into a single online environment in which students will be able to perform in-depth searches for information connected to the Libraries' many electronic resources.

As LLMs quickly become more sophisticated, here are some potential ways generative artificial intelligence programs could facilitate organizing and writing your social sciences research paper:

• Explore a Topic – develop a research problem related to the questions you have about a general subject of inquiry.
• Formulate Ideas – obtain background information and explore ways to place the research problem within specific contexts .
• Zero in on Specific Research Questions and Related Sub-questions – create a query-based framework for how to investigate the research problem.
• Locate Sources to Answer those Questions – begin the initial search for sources concerning your research questions.
• Obtain Summaries of Sources – build a synopsis of the sources to help determine their relevance to the research questions underpinning the problem.
• Outline and Structure an Argument – present information that assists in formulating an argument or an explanation for a stated position.
• Draft and Iterate on a Final Essay – create a final essay based on a process of repeating the action of text generation on the results of each prior action [i.e., ask follow up questions to build on or clarify initial results].

Despite their power to create text, generative AI systems are far from perfect and their ability to “answer” questions can be misleading, deceiving, or outright false. Described below are some current problems adapted from an essay written by Bernard Marr at Forbes Magazine and reiterated by researchers studying LLMs and writing. These issues focus on problems with using ChatGPT, but they are applicable to any current Large Language Model program .

• Not Connected to the Internet . Although the generative AI systems may appear to possess a significant amount of information, most LLM’s are currently not mining the Internet for that information [note that this is changing quickly. For example, an AI chatbot feature is now embedded into Microsoft’s Bing search engine, but you'll probably need to pay for this feature in the future]. Without a connection to the Internet, LLMs cannot provide real-time information about a topic. As a result, the scope of research is limited and any new developments in a particular field of study will not be included in the responses. In addition, the LLMs can only accept input in text format. Therefore, other forms of knowledge such as videos, web sites, audio recordings, or images, are excluded as part of the inquiry prompts.
• The Time-consuming Consequences of AI Generated Hallucinations . If proofreading AI generated text results in discovering nonsensical information or an invalid list of scholarly sources [e.g., the title of a book is not in the library catalog or found anywhere online], you obviously must correct these errors before handing in your paper. The challenge is that you have to replace nonsensical or false statements with accurate information and you must support any AI generated declarative statements [e.g., "Integrated reading strategies are widely beneficial for children in middle school"] with citations to valid academic research that supports this argument . This requires reviewing the literature to locate real sources and real information, which is time consuming and challenging if you didn't actually compose the text. And, of course, if your professor asks you to show what page in a book or journal article you got the information from to support a generated statement of fact, well, that's a problem. Given this, ChatGPT and other systems should be viewed as a help tool and never a shortcut to actually doing the work of investigating a research problem.
• Trouble Generating Long-form, Structured Content . ChatGPT and other systems are inadequate at producing long-form content that follows a particular structure, format, or narrative flow. The models are capable of creating coherent and grammatically correct text and, as a result, they are currently best suited for generating shorter pieces of content like summaries of topics, bullet point lists, or brief explanations. However, they are poor at creating a comprehensive, coherent, and well-structured college-level research paper.
• Limitations in Handling Multiple Tasks . Generative AI systems perform best when given a single task or objective to focus on. If you ask LLMs to perform multiple tasks at the same time [e.g., a question that includes multiple sub-questions], the models struggle to prioritize them, which will lead to a decrease in the accuracy and reliability of the results.
• Biased Responses . This is important to understand. While ChatGPT and other systems are trained on a large set of text data, that data has not been widely shared so that it can be reviewed and critically analyzed. You can ask the systems what sources they are using, but any responses can not be independently verified. Therefore, it is not possible to identify any hidden biases or prejudices that exist within the data [i.e., it doesn't cite its sources]. This means the LLM may generate responses that are biased, discriminatory, or inappropriate in certain contexts .
• Accuracy Problems or Grammatical Issues . The sensitivity to typographical errors, grammatical errors, and misspellings is currently very limited in LLMs. The models may produce responses that are technically correct, but they may not be entirely accurate in terms of context or relevance. This limitation can be particularly challenging when processing complex or specialized information where accuracy and precision are essential. Given this, never take the information that is generated at face value; always proofread and verify the results!

As they currently exist, ChatGPT and other Large Language Models truly are artificial in their intelligence. They cannot express thoughts, feelings, or other affective constructs that help a reader intimately engage with the author's written words; the output contains text, but the systems are incapable of producing creative expressions or thoughts, such as, conveying the idea of willful deception and other narrative devices that you might find in a poem or song lyric. Although creative devices, such as metaphors, idioms, imagery or subtleties in narrative rhythm, style, or voice, are rarely used in academic writing, it does illustrate that personalizing the way you present your research [e.g., sharing a personal story relating to the significance of the topic or being asked to write a reflective paper ] cannot be generated artificially.

Ethical Considerations

In the end, the ethical choice of whether to use ChatGTP or similar platforms to help write your research paper is up to you; it’s an introspective negotiation between you and your conscience. As noted by Bjork (2023) and others, though, it is important to keep in mind the overarching ethical problems related to the use of LLMs. These include:

• LLMs Do Not Understand the Meaning of Words . Without meaning as a guide, these systems use algorithms that rely on formulating context clues, stylistic structures, writing forms, linguistic patterns, and word frequency in determining how to respond to queries. This functionality means that, by default, LLMs perpetuate dominant modes of writing and language use while minimizing or hiding less common ones. As a result,...
• LLMs Prioritize Standard American English . White English-speaking men have dominated most writing-intensive sectors of the knowledge economy, such as, journalism, law, politics, medicine, academia, and perhaps most importantly, computer programming. As a result, writers and speakers of African American, Indigenous English, and other sociolinguistic dialects that use forms of language with its own grammar, lexicon, slang, and history of resistance within the dominant culture, are penalized and shamed for writing as they speak. The default functionality and outputs of LLMs, therefore, can privilege forms of English writing developed primarily by the dominant culture.
• LLMs Do Not Protect User Privacy . ChatGPT and other platforms record and retain the entire content of your conversations with the systems. This means any information you enter, including personal information or, for example, any documents you ask the systems to revise is retained and cannot be removed. Although the American Data Privacy and Protection Act was being considered within the 117th Congress, there is no federal privacy law that regulates how these for-profit companies can store, use, or possibly sell information entered into their platforms. Given this, it is highly recommended that personal information should never be included in any queries.

NOTE :  If your professor allows you to use generative AI programs or you decide on your own to use an LLM for a writing assignment, then this fact should be cited in your research paper, just as any other source of information used to write your paper should be acknowledged. Why? Because unlike grammar or citation tools, such as Grammarly or Citation Machine that correct text you've already written, generative AI programs are creating new content that is not in your own words. Currently, the American Psychological Association (APA), Modern Language Association (MLA) and the Chicago Manual of Style provide recommendations on how to cite generated text.

ANOTHER NOTE : LLMs have significant deficiencies that still require attention to thorough proofreading and source verification, an ability to discern quality information from misleading, false, irrelevant, or even made up information, a capacity to interpret and critically analyze what you have found, and the skills required to extrapolate meaning from the research your have conducted. For help with any or all of these elements of college-level research and writing, you should still contact a librarian for help.

YET ANOTHER NOTE : Researchers are finding early evidence that suggests over-reliance on ChatGPT and other LLM platforms for even the simplest writing task may, over time, undermine confidence in a student's own writing ability. Just like getting better at giving a class presentation or working on a group project, good writing is an acquired skill that can only be improved upon through the act of doing; the more you write, the more comfortable and confident you become expressing your own ideas, opinions, and judgements applied to the problem you have researched. Substituting LLMs with your own voice can inhibit your growth as a writer, so give yourself room to write creatively and with confidence by accepting LLMs as a tool rather than a definitive source of text.

For more information about Generative AI platforms and guidance on their ethical use in an academic setting, review the USC Libraries' Using Generative AI in Research guide for students and faculty. For an introduction to the limitations and potential pitfalls generative AI text generators applied to law, GO HERE .

Introduction to ChatGPT for Library Professionals. Mike Jones and Curtis Fletcher. USC Libraries, Library Forum, May 18, 2023; Aikins, Ross and Albert Kuo. “What Students Said About the Spring of ChatGPT.” Inside Higher Education , September 3, 2023; Baugh, John. “Linguistic Profiling across International Geopolitical Landscapes.” 152 Dædalus (Summer 2023): 167-177; ChatGPT. Library, Wesleyan University; Bjork, Collin. "ChatGPT Threatens Language Diversity." The Conversation , February 9, 2023; Understanding AI Writing Tools and their Uses for Teaching and Learning at UC Berkeley . Center for Teaching & Learning, University of California, Berkeley; Ellis, Amanda R., and Emily Slade. "A New Era of Learning: Considerations for ChatGPT as a Tool to Enhance Statistics and Data Science Education." Journal of Statistics and Data Science Education 31 (2023): 1-10; Ray, Partha Pratim. “ChatGPT: A Comprehensive Review on Background, Applications, Key Challenges, Bias, Ethics, Limitations and Future Scope.” Internet of Things and Cyber-Physical Systems (2023); Uzun, Levent. "ChatGPT and Academic Integrity Concerns: Detecting Artificial Intelligence Generated Content." Language Education and Technology 3, no. 1 (2023); Lund, Brady D. Et al. “ChatGPT and a New Academic Reality: Artificial Intelligence Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing.” Journal of the Association for Information Science and Technology 74 (February 2023): 570–581; Rasul, Tareq et al. "The Role of ChatGPT in Higher Education: Benefits, Challenges, and Future Research Directions.” Journal of Applied Learning and Teaching 6 (2023); Rudolph, Jürgen, Samson Tan, and Shannon Tan. "ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education?" Journal of Applied Learning and Teaching 6, no. 1 (2023): 342-362; Marr, Bernard. “The Top 10 Limitations Of ChatGPT.” Forbes (March 3, 2023): https://www.forbes.com/sites/bernardmarr/2023/03/03/the-top-10-limitations-of-chatgpt/?sh=41ae78e8f355; Thinking about ChatGPT? Academic Integrity at UBC, Office of the Provost and Vice-President Academic, University of British Columbia.

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• Last Updated: May 9, 2024 11:05 AM
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November 21, 2023

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How AI can help you write your research paper

Putting together a research paper can be a daunting task, often involving hours of research, managing information, and crafting a well-structured document. However, the advent of AI-powered tools makes the process more manageable than ever before. Even better than some research tips, explore how AI-powered tools can change the way you build research papers, making the entire process smoother, more precise, and less time-consuming.

Use AI for research

One of the most laborious aspects of writing a research paper is gathering information and conducting thorough research; AI-powered tools can help streamline this process significantly.

Use Copilot in Edge to find relevant research papers, articles, and academic sources with ease. By simply inputting your paper parameters, research topic, or keywords, you can quickly access a vast database of academic resources, saving you hours of scouring the internet. Copilot can also swiftly provide definitions, explanations, and relevant context for unfamiliar terms or passages on the page, eliminating the need to switch between tabs or search engines. Moreover, Copilot can summarize extensive web content and suggest related articles or papers to deepen your understanding. By integrating Copilot into your research workflow, you can enhance productivity and ensure access to up-to-date and pertinent information. 

Organize your paper with AI

Once you've collected the necessary information, you need to organize and structure your research paper effectively. Copilot, accessible right in the sidebar, can help build a clear, well-structured outline for your paper based specifically on your topic and web sources. By inputting key points and subtopics, Copilot can generate a structured outline to serve as a roadmap for your argument. This ensures your research paper is logically organized, making it easier for readers to comprehend.

Come across a concept or fact on the web that you want to use? Something spark an idea you want to get down and revisit? Use the Compose  in the Microsoft Edge sidebar to write up a summary of the idea, or where it fits into your larger argument. Ask for a citation while you’re at it—more on that a little later.

As a bonus, Microsoft Edge’s AI-powered tools check for grammar and spelling errors and provide suggestions to improve the clarity of your writing. If you like writing chunks of your paper as you research, this is ideal. They can help refine your writing style and ensure your ideas are effectively communicated.

Finding sources using AI

Looking for primary or academic sources? Ask Copilot in Edge. With a topic, keywords, and questions, the AI-powered tool can help hunt down possible sources fast. Copilot can provide links and even summaries of the sources. To be sure the sources are credible, always review them for yourself, of course, and make the best decision about what is relevant and persuasive for your paper.

Citing sources using AI

Citing sources and managing references is a crucial aspect of research paper writing—and one of the most dreaded. Fortunately, AI-powered citation and reference management tools can simplify the tedious citation process. As you track sources and collect information across the web, the AI-powered Microsoft Edge sidebar can help generate citations for your sources. Simply ask for Copilot to cite a source using a specific style—typically APA, MLA, or Chicago—and it will find the best citation generator for your paper. The sidebar tools can also serve as a sort of extra set of eyes, checking your footnotes and bibliography for errors or inconsistencies.

Ethical use of AI-powered tools in school

The ethics of using AI for research papers raise important questions about transparency, integrity, and the role of human creativity and critical thinking in academia. While AI-powered tools undeniably offer efficiency and assistance in the research process, it's crucial for researchers to maintain transparency. Proper citation and acknowledgment of AI-generated content or assistance is essential to uphold academic integrity and avoid plagiarism.

Ultimately, the responsible use of AI in research should complement human ingenuity rather than replace it, emphasizing collaboration between technology and researchers to advance knowledge ethically and morally.

Embark on you next research paper with AI’s help

AI-powered tools  like those built into Microsoft Edge have the ability to revolutionize the process of developing research papers. From automating research to helping with organization, citation management, even language translation, these tools offer a variety of benefits to researchers.

When you embark on your next research paper, consider integrating AI-powered tools into your workflow to save time, enhance accuracy, and improve the overall quality of your work. Copilot in Edge is an easy and convenient AI portal for researchers and writers. Try Microsoft Edge  today to tap into the power of AI and improve your research papers today.

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How to Write a Research Paper (+ Free AI Research Paper Writer)

Table of contents

Meredith Sell

Over the years, I've managed to vastly improve how I write research papers.

The three major game-changers for me, in terms of quality of the finished piece, have been:

• Following the research paper checklist (see below)
• Developing the thesis before starting to write
• And, more recently, using AI to improve my research paper draft

Let's break down each of these elements and produce the kind of research papers that get cited in magazines.

FREE AI research paper writer > FREE AI research paper writer >

What is a research paper, and how is it written differently?

Research papers are longer and more in-depth than essays. They require extensive research and evidence-based arguments. Research papers also typically have a more formal structure and require citations and references.When academics want to find a balanced and comprehensive view on a given topic, they usually seek a research paper.

Like most writing assignments, a research paper can be broken down into simple steps. Research papers follow the same basic writing process as explanatory or persuasive essays — but instead of making an argument or drawing greater meaning from the topic, the research paper is primarily concerned with concrete facts that may be analyzed, examined, or interpreted to better understand the paper’s central topic.

This is good news if you enjoy research: you’ll be doing a lot of it. The ultimate quality of your paper depends on you conducting thorough, complete research — and relying on reputable sources.

How to Properly Write a Research Paper Using AI

1. make a checklist based on the assignment description, and fill it out with ai.

Your professor has likely specified some criteria for your research paper:

• Length (in pages or words)
• Type of topic (the War of 1812, ancient Greece, agriculture, etc.)
• Elements that must be included, such as analysis, discussion, and comparison.
• Types of sources you must draw from (academic papers, encyclopedias, etc.)
• Source attribution style
• Formatting style

Go through the assignment description and create a checklist of those criteria. You can use this checklist throughout the research and writing process as well:

AI can really help you get some traction with your research paper in the preperation stage. This includes two main steps:

• Brainstorming paper topic idea
• Outlining based on your topic, basing the prompt on the assignment

2. Choose a topic you’re curious about, or use AI to help you with that

A sure way to write a boring research paper is to pick a topic you have no interest in, like summer temperatures in the desert or the life cycle of a flea. (Though someone’s probably interested in those things.)

Instead, follow your curiosity.

If your paper is for a writing class, you may have a lot of freedom to choose what you write about, so tap into your interests. Are you intrigued by the history of roller skating or the invention of the soccer cleat? Or how teen social dynamics have changed with evolving technology (think: home phones → online instant messaging → flip phones → smartphones)?

If you’re writing for a class in a subject like history, art, or science, you’ll probably have more restrictions on what you can write about — like a time period or type of art or science — but you can still use your curiosity to pick an interesting topic.

If you’re having a tough time, try brainstorming a list of things you’ve wondered about. Ask “ what’s up with… ” and see what comes to mind.

For example:

What’s up with traffic circles and why are they supposedly better for traffic patterns than a light or four-way stop?

What’s up with country music sounding more and more like hip-hop?

What’s up with people who have gluten allergies being able to eat bread in Europe but not the US?

Once you have a list, choose the topic you find most interesting (and appropriate for the assignment).

If your mind draws a blank, you can utilize AI to help you choose a topic. Let's say your course is about mid century art. You can go to a tool like Wotdtune and ask it to give you ideas for creative mid century art essays. See example below.

3. Develop your thesis (and guide your research) by asking a research question

Even though a research paper may not necessarily take a side on a topic, it still needs a thesis, aka a central idea or focus that drives the piece from beginning to end. 

We wrote a whole guide on writing thesis statements , so here we’ll just give you this tip:

Use a research question to develop your thesis

A research question is a variation on the “What’s up with…” questions from the last tip — but it will zoom in more specifically on the aspect of your topic that you’re investigating.

Why were the Irish so dependent on potatoes?

Did any women in ancient Greece enjoy relative freedom and autonomy?

You may already know the answer to these questions, or you may not. Either way, they give you a place to start in your research. Once you have your question, set out to:

• Find the initial answer.
• Gather more context (the who, what, when, where, why, how) around that answer.
• Revise your research question and turn it into your thesis.

This process helps tighten your focus from a broad topic that could fill books to a specific angle that can be meaningfully explored in the few pages of your paper.

Instead of the potato famine , write about why England was to blame for the potato famine’s devastating effects on the Irish.

Instead of ancient Greece or women in ancient Greece , write about how Spartan women’s lives differed from the lives of women in Athens.

4. Skim sources and use AI to perform research for your paper

Your research question can help you quickly determine whether information is relevant to your paper. As you gather initial sources, skim them — and then use your research question to decide whether to keep or discard the source. 

Does the source cover information relevant to my research question?

Yes: Keep to read later.

No: Discard and move on to the next source.

This approach will save you precious research time. You won’t waste limited hours reading sources that don’t have a single helpful fact.

If skimming is hard for you (as a deep reader, I get it), Wordtune can help. Paste the link to your online source, upload a scanned PDF, or copy the text, and the tool will scan and summarize for you. You can always come back later and closely read the most useful sources.

5. Make note of the most interesting facts you find

Along with taking detailed notes of your research (complete with all the source info you need to make proper citations), highlight the most interesting facts you come across. You could stick these in a section together or mark them in a way that makes them stand out.

Why should you do this?

Because later on, one of these fascinating factoids could have a direct connection to your thesis — and make a great hook for the start of your paper. Instead of digging through all of your notes to try to remember what that interesting tidbit was, you’ll be able to find it easily.

6. Organize your research

There are plenty of ways to organize your notes, but I suggest breaking them up into subtopics and categories.

• Subtopic: A topic related to your main topic or thesis that needs to be explained and understood by readers in order to understand your main topic or thesis. For example: Land ownership in Ireland under British rule.
• Category: An overarching concept that several subtopics fall under. For example: British restrictions on the Irish.

To start, I would focus on the subtopics and then group them into categories.

As you organize, use the formatting tools in your word processor to tag headings and subheadings. For example, all categories would be an H2 (Heading 2), while all subtopics would be an H3 (Heading 3). 

Tagging your categories and subtopics this way will help you develop your outline. Just organize your categories and subtopics in a logical order, and you’ll have a skeleton of an outline ready to go.

7. Write with your research document open

No one can remember everything they found while researching — you’ll need to reference your research document throughout the writing process. No question there.

But you can make this easier (and keep your writing process efficient) by:

Keeping your research document open and in clear view.

I like to put my draft document and my research document side by side on my screen, so I can see them both at the same time. 

Another approach would be to paste the information you need directly into your draft document — in the order you’ll need it. (Your outline will help you know what you need.)

8. Steal the TK trick from journalists

In the middle of drafting your paper, you find that you’re missing a fact. 

You neglected to write down how many Irish people starved due to the potato famine.

You don’t know what age Spartan women were able to own property.

Instead of derailing your writing and searching for that information, write the sentence you want to write and stick a “TK” where the missing fact should go.

“TK” stands for “to come” (don't ask us why) and is a placeholder used by journalists to mark missing information they’ll fill in later. Using TK allows you to keep writing without getting off track every time you discover your research didn’t cover everything.

A whopping TK Irish people starved, thanks to the combination of famine and British oppression.

At age TK , Spartan girls became women who were able to own property, a right that their sisters in Athens did not enjoy.

9. Revise, explain, paraphrase with AI as your research/writing assistant

Using the right researching tools can get you a lot way.

If you’re ever at a loss for words — writing clunky, clumsy sentences, struggling to explain a concept, or having a hard time paraphrasing a source — Wordtune can serve as your AI sidekick.  

Simply highlight the sentence in question and browse Wordtune’s suggestion for a better wording.

You can also use Wordtune Spices to come up with examples and counter arguments for whatever you're writing about or even find stats and facts, complete with source citations

Wordtune doesn’t do all of the writing for you, but it can help you sharpen your ideas on the sentence level, so you can hand in a research paper with good writing that’s still very much your own.

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AI-assisted writing is quietly booming in academic journals. Here’s why that’s OK

Lecturer in Bioethics, Monash University & Honorary fellow, Melbourne Law School, Monash University

Disclosure statement

Julian Koplin does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Monash University provides funding as a founding partner of The Conversation AU.

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If you search Google Scholar for the phrase “ as an AI language model ”, you’ll find plenty of AI research literature and also some rather suspicious results. For example, one paper on agricultural technology says:

As an AI language model, I don’t have direct access to current research articles or studies. However, I can provide you with an overview of some recent trends and advancements …

Obvious gaffes like this aren’t the only signs that researchers are increasingly turning to generative AI tools when writing up their research. A recent study examined the frequency of certain words in academic writing (such as “commendable”, “meticulously” and “intricate”), and found they became far more common after the launch of ChatGPT – so much so that 1% of all journal articles published in 2023 may have contained AI-generated text.

(Why do AI models overuse these words? There is speculation it’s because they are more common in English as spoken in Nigeria, where key elements of model training often occur.)

The aforementioned study also looks at preliminary data from 2024, which indicates that AI writing assistance is only becoming more common. Is this a crisis for modern scholarship, or a boon for academic productivity?

Who should take credit for AI writing?

Many people are worried by the use of AI in academic papers. Indeed, the practice has been described as “ contaminating ” scholarly literature.

Some argue that using AI output amounts to plagiarism. If your ideas are copy-pasted from ChatGPT, it is questionable whether you really deserve credit for them.

But there are important differences between “plagiarising” text authored by humans and text authored by AI. Those who plagiarise humans’ work receive credit for ideas that ought to have gone to the original author.

By contrast, it is debatable whether AI systems like ChatGPT can have ideas, let alone deserve credit for them. An AI tool is more like your phone’s autocomplete function than a human researcher.

The question of bias

Another worry is that AI outputs might be biased in ways that could seep into the scholarly record. Infamously, older language models tended to portray people who are female, black and/or gay in distinctly unflattering ways, compared with people who are male, white and/or straight.

This kind of bias is less pronounced in the current version of ChatGPT.

However, other studies have found a different kind of bias in ChatGPT and other large language models : a tendency to reflect a left-liberal political ideology.

Any such bias could subtly distort scholarly writing produced using these tools.

The hallucination problem

The most serious worry relates to a well-known limitation of generative AI systems: that they often make serious mistakes.

For example, when I asked ChatGPT-4 to generate an ASCII image of a mushroom, it provided me with the following output.

It then confidently told me I could use this image of a “mushroom” for my own purposes.

These kinds of overconfident mistakes have been referred to as “ AI hallucinations ” and “ AI bullshit ”. While it is easy to spot that the above ASCII image looks nothing like a mushroom (and quite a bit like a snail), it may be much harder to identify any mistakes ChatGPT makes when surveying scientific literature or describing the state of a philosophical debate.

Unlike (most) humans, AI systems are fundamentally unconcerned with the truth of what they say. If used carelessly, their hallucinations could corrupt the scholarly record.

Should AI-produced text be banned?

One response to the rise of text generators has been to ban them outright. For example, Science – one of the world’s most influential academic journals – disallows any use of AI-generated text .

I see two problems with this approach.

The first problem is a practical one: current tools for detecting AI-generated text are highly unreliable. This includes the detector created by ChatGPT’s own developers, which was taken offline after it was found to have only a 26% accuracy rate (and a 9% false positive rate ). Humans also make mistakes when assessing whether something was written by AI.

It is also possible to circumvent AI text detectors. Online communities are actively exploring how to prompt ChatGPT in ways that allow the user to evade detection. Human users can also superficially rewrite AI outputs, effectively scrubbing away the traces of AI (like its overuse of the words “commendable”, “meticulously” and “intricate”).

The second problem is that banning generative AI outright prevents us from realising these technologies’ benefits. Used well, generative AI can boost academic productivity by streamlining the writing process. In this way, it could help further human knowledge. Ideally, we should try to reap these benefits while avoiding the problems.

The problem is poor quality control, not AI

The most serious problem with AI is the risk of introducing unnoticed errors, leading to sloppy scholarship. Instead of banning AI, we should try to ensure that mistaken, implausible or biased claims cannot make it onto the academic record.

After all, humans can also produce writing with serious errors, and mechanisms such as peer review often fail to prevent its publication.

We need to get better at ensuring academic papers are free from serious mistakes, regardless of whether these mistakes are caused by careless use of AI or sloppy human scholarship. Not only is this more achievable than policing AI usage, it will improve the standards of academic research as a whole.

This would be (as ChatGPT might say) a commendable and meticulously intricate solution.

• Artificial intelligence (AI)
• Academic journals
• Academic publishing
• Hallucinations
• Scholarly publishing
• Academic writing
• Large language models
• Generative AI

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AI writing tools promise faster manuscripts for researchers

Automation brings plagiarism risks, and software still needs human input for analysis and narrative.

Credit: gmast3r/Getty Images

17 August 2021

gmast3r/Getty Images

Writing tools powered by artificial intelligence (AI) have the potential to reduce manuscript preparation time to a few days, or hours. Deep-learning technologies that run chatbots, spellchecks and auto-generated tweets are being used in a growing number of products pitched at students and academics.

Grammarly, for example, claims to “inspect your writing carefully to improve clarity, word choice and more”, offering free and fee-based services.

But are these tools up to the task? In an experiment through education information site EduRef, a group of recent graduates, undergraduates and self-described undergraduate-level writers were given the same assignments as GPT-3, an AI language program developed by OpenAI, a research company co-founded by Elon Musk.

The assignments were evaluated by instructors who did not know who (or what) had written them. GPT-3 performed in line with the humans, according to EduRef, and received “more or less the same feedback”.

The program was praised for writing excellent openings and transitions, but was criticised for using vague, blunt and awkward language, and for failing to craft a strong narrative. It wrote shallow, less descriptive papers than the students, according to EduRef’s write-up on its website, but it took between three and 20 minutes to write a paper, compared to three days for the students.

Hilde van Zeeland is chief applied linguist at start-up company Writefull, which offers AI-based language editing, and is part of London-based Digital Science (see disclosure, below). She says AI tools are already powerful enough to improve a writer’s sentence flow and structure, and will continue to improve.

The company recently analysed more than 250,000 abstracts to identify the most commonly used phrases in each of four different parts of the abstract.

They found, for example, that the words ‘aim of this study’ occurred most frequently in part 1 of the abstract (where study aim and background are described) and the phrase ‘95% confidence interval’ occurred most often in part 4 (which deals with meaning of results, contribution, future research). Users can choose phrases and connecting sentences to use in their own papers.

“With this database of phrases, when a user struggles with the right word to use for each section, our software will be able to provide good alternatives,” says van Zeeland.

The website tells users not to worry about plagiarism, reassuring them that certain phrases won’t be flagged by a plagiarism checker because they are short and commonly used.

Writefull is running a separate experiment that involves feeding an abstract into an AI tool, which generates a paper title based on the input. This function can enhance title readability, draw readership to the abstract and make the article more visible to search engines, according to van Zeeland.

AI tools can do more than check a writer’s grammar and spelling and suggest frequently used phrases, says computer scientist, Guillaume Cabanac, from the University of Toulouse in France.

An analysis of journal-published computer-science papers by Cabanac and his colleagues, posted as a preprint on arXiv in July and yet to be peer-reviewed, found swathes of articles containing tortured phrases and nonsensical text. For example, the phrase ‘colossal information’ was used instead of ‘big data’.

The authors suspect that these papers were the result of using automated translations or software that rewrites existing text to disguise plagiarism, according to a report in Nature .

Their study prompted warnings from research integrity experts that a new type of fabricated paper was entering the scientific literature, which will be hard to spot as AI tools learn to use more sophisticated language.

Considerations for using AI writing tools in academic work

Shu Chian Tay, a science communicator at the National University of Singapore , fears that AI writing tools could exacerbate inequality between labs with different access to resources or openness to trying new technologies.

Shu Chian Tay

“Consider a hypothetical situation where AI science-writing is possible and two labs have made the same research breakthrough at the same time,” says Tay.

“One lab stuck to human writing, which took weeks, while the other made use of AI writing tools. The latter, who is likely to publish earlier would get most, if not all, of the scientific recognition and lucrative intellectual property rights.”

Will AI replace human writing?

Tay notes that although AI writing tools are quite powerful, they have not yet reached a point where they can write a scientific manuscript from scratch. “We still need researchers to analyse data, present them as figures, and develop a coherent story before feeding all this information to the AI machine,” she says.

Ryan Morrison, professor of English as a second language at George Brown College in Toronto, Canada, says that although the adoption of AI in academic writing is inevitable, it is unlikely to replace human writing in the near future.

Ryan Morrison

“Just as super-computer calculators can process large sets of numbers fast, AI writing tools outperform humans in completing tasks like spell checks and text generation at a much faster rate,” says Morrison. “But the creativity of AI is ultimately limited by the input materials and the discretion of the human curator.”

Software such as Turnitin is also incorporating AI technology to enhance its ability to detect plagiarism. This could potentially be used to identify documents written using AI tools.

Be transparent about using AI writing tools in academic work

Michael Mindzak, assistant professor in the department of educational studies at Brock University in Ontario, Canada, cautions that the academic community has not yet agreed on how to manage potential problems related to AI writing tools, such as plagiarism and authorship credits.

Michael Mindzak

Most institutions are yet to formulate policies on the use of these tools by students and staff. This can be problematic when committee members making decisions on tenure and promotion have different views about the appropriateness of using them, says Mindzak.

“My advice is to be transparent,” says Mindzak. “Declare and add a disclaimer if you have used AI-assisted writing. As more people in the community do this, it may become a norm, just like how the ‘conflict of interest’ section has been added to academic papers in response to a rise in company-funded research and start-ups from academic labs.”

*Digital Science is a subsidiary of Holtzbrinck Publishing Group, which owns 53% of Springer Nature, publisher of the Nature Index. Nature Index is editorially independent of its publisher.

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Some scientists can't stop using AI to write research papers

If you read about 'meticulous commendable intricacy' there's a chance a boffin had help.

Linguistic and statistical analyses of scientific articles suggest that generative AI may have been used to write an increasing amount of scientific literature.

Two academic papers assert that analyzing word choice in the corpus of science publications reveals an increasing usage of AI for writing research papers. One study , published in March by Andrew Gray of University College London in the UK, suggests at least one percent – 60,000 or more – of all papers published in 2023 were written at least partially by AI.

A second paper published in April by a Stanford University team in the US claims this figure might range between 6.3 and 17.5 percent, depending on the topic.

Both papers looked for certain words that large language models (LLMs) use habitually, such as “intricate,” “pivotal,” and “meticulously." By tracking the use of those words across scientific literature, and comparing this to words that aren't particularly favored by AI, the two studies say they can detect an increasing reliance on machine learning within the scientific publishing community.

In Gray's paper, the use of control words like "red," "conclusion," and "after" changed by a few percent from 2019 to 2023. The same was true of other certain adjectives and adverbs until 2023 (termed the post-LLM year by Gray).

In that year use of the words "meticulous," "commendable," and "intricate," rose by 59, 83, and 117 percent respectively, while their prevalence in scientific literature hardly changed between 2019 and 2022. The word with the single biggest increase in prevalence post-2022 was “meticulously”, up 137 percent.

The Stanford paper found similar phenomena, demonstrating a sudden increase for the words "realm," "showcasing," "intricate," and "pivotal." The former two were used about 80 percent more often than in 2021 and 2022, while the latter two were used around 120 and almost 160 percent more frequently respectively.

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The researchers also considered word usage statistics in various scientific disciplines. Computer science and electrical engineering were ahead of the pack when it came to using AI-preferred language, while mathematics, physics, and papers published by the journal Nature, only saw increases of between five and 7.5 percent.

The Stanford bods also noted that authors posting more preprints, working in more crowded fields, and writing shorter papers seem to use AI more frequently. Their paper suggests that a general lack of time and a need to write as much as possible encourages the use of LLMs, which can help increase output.

Potentially the next big controversy in the scientific community

Using AI to help in the research process isn't anything new, and lots of boffins are open about utilizing AI to tweak experiments to achieve better results. However, using AI to actually write abstracts and other chunks of papers is very different, because the general expectation is that scientific articles are written by actual humans, not robots, and at least a couple of publishers consider using LLMs to write papers to be scientific misconduct.

Using AI models can be very risky as they often produce inaccurate text, the very thing scientific literature is not supposed to do. AI models can even fabricate quotations and citations, an occurrence that infamously got two New York attorneys in trouble for citing cases ChatGPT had dreamed up.

"Authors who are using LLM-generated text must be pressured to disclose this or to think twice about whether doing so is appropriate in the first place, as a matter of basic research integrity," University College London’s Gray opined.

The Stanford researchers also raised similar concerns, writing that use of generative AI in scientific literature could create "risks to the security and independence of scientific practice." ®

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Academic Editing: How to Self-Edit Academic Text With Paperpal 

Academia thrives on the exchange of ideas. Researchers toil away, conducting groundbreaking experiments, formulating intricate theories, and constructing compelling arguments. But these discoveries remain hidden gems unless effectively communicated. This is where academic editing steps in, empowering researchers to share their brilliance with a broader audience. 

Despite its undeniable importance, the editing stage often presents a significant hurdle for many academics. Editing their own work can be a hurdle for researchers and PhD students. Between tight deadlines, juggling expertise in their field with grammar rules, and maintaining objectivity about their research, the process can feel overwhelming. In the case of non-native English speakers, ensuring clear, concise communication of complex ideas in English can be a time-consuming struggle.

Table of Contents

• Academic writing & editing: Struggles for non-native English speakers 
• Grammar and Mechanics 
• Sentence Structure and Clarity 
• Word Choice and Conventions 
• Language and Consistency checks 
• Journal submission readiness checks 
• A final check to avoid accidental plagiarism 

In this article, we explore the challenges of academic editing for native and non-native speakers and understand how Paperpal, the AI academic writing and editing assistant can solve them. 

Academic writing & editing: Struggles for non-native English speakers

A survey was conducted on 900 researchers, 1 primarily in the environmental sciences, to understand the importance of addressing language barriers and ensuring fair opportunities in research and academia. Its insights noted that non-native English speakers took twice as much time to write a paper compared to their native-speaking counterparts, and the frequency of paper rejections they faced due to language-related issues was 2.6 times higher. These differences led to lower opportunities, such as fewer conference invitations and lower acceptance rates for top positions. 

Taking this challenge into consideration, we asked our participants from our recent webinar – How to Use Paperpal’s AI Academic Editing to Write and Edit Like a Pro, to share their motivations behind using AI academic editing tools to quickly perfect an essay or research paper. 19.37% of them mentioned that they were not confident writing in English as a non-native speaker, and 18.92% of them were comfortable in English but wanted to make it sound academically correct.

Today, we have AI writing tools to assist in academic writing, but most of them can’t keep up with academic writing conventions. For example, translating foreign text into academic English often leads to losing context in theory, which doubles the editing effort required. Most AI writing tools write in conversational English, which cannot work at the university level and beyond. Let’s explore how Paperpal makes academic editing stress-free for beginners.

15 ways Paperpal makes academic editing a breeze

Paperpal’s mission is clear: to empower researchers of all backgrounds to excel in academic writing. We address the challenges faced by both non-native and native speakers. For non-native speakers, Paperpal builds confidence in academic English. For native speakers, it bridges the gap from conversational to academic writing. Ultimately, Paperpal aims to democratize academic writing, making it accessible and effective for all. 

To achieve this, Paperpal leverages the power of AI. Trained on a massive dataset encompassing 2.5 million+ professional editor hours and 1300+ fields of study, Paperpal understands the nuances of academic writing across disciplines, from economics to scientific research. It’s not just about fixing grammar; Paperpal delves deeper. By drawing on 21+ years of STM expertise, it offers insights into precise word choice, patient-focused language, and real-time editing practices employed by reviewers. 

Building on this foundation, Paperpal analyzes your work through the lens of an academic editing checklist, providing feedback across 15 domains of academic editing:

Grammar and Mechanics

• Tense usage/voice 
• Article usage 
• Singular/plural usage 
• Subject-verb agreement 
• Punctuation: commas, hyphens 

Sentence Structure and Clarity

• Parallelism 
• Modifiers 
• Comparisons 
• Dummy subject 
• Wordiness 

Word Choice and Conventions

• Confused words, collocations 
• Patient-first language 
• Abbreviations 
• Formal usage/contractions 
• Numbers and units 

Also Read: How to Find the Right Academic Editor and Proofreading Partner  

How to use Paperpal for academic editing: A step-by-step guide

Here’s a step-by-step process to edit your content with Paperpal’s academic editing capabilities.  

Install the Word Add-in or sign up/log in via the web to use Paperpal’s academic editing capabilities. Set your language preferences to British or American English to receive customized suggestions and choose your editing mode. Paperpal offers two editing modes, Extensive and Essential, that help you edit depending on your needs.   

• Extensive mode offers comprehensive feedback on all aspects of your writing beyond grammar, clarity, conciseness, etc., including rephrases and is suitable for thorough revisions.  
• Essential mode focuses on key suggestions like actual errors to correct grammar and improve readability. 

Once the setup is done, here’s an overview of how to leverage Paperpal for academic editing. 

Language and Consistency checks

One of Paperpal’s standout academic editing features is its ability to identify and correct language inconsistencies throughout your document. From punctuation corrections, including hyphenation and comma usage, to ensuring consistency in writing style and terminology, Paperpal provides continuous suggestions for clarity and correctness.

Paperpal makes it easy to approve or dismiss suggestions with a single click. This keeps you in charge and lets you decide how much AI helps with your writing and editing, all while saving you time. To access this feature, navigate to “Edit” on the right-hand pane and select the “ Language ” tab or “ Consistency ” tab as per your requirement. 

Some of the editing elements in the Language and Consistency feature involve: 

• Punctuation Corrections: Hyphenation , Comma / Run – ons    
• Academic Word Choice: Collocations, Patient-first language, Formal usage, Subject-verb agreement, Noun numbers 
• Sentence Structure and Clarity: Parallelism, Modifiers 
• Clarity and Conciseness Improvements: Dummy subject, Wordiness/Redundancy, Removing redundancy and filler phrases 
• Consistency and Style Check: Maintaining consistency in writing style i.e. American/British English, terminology, and formatting for coherence and flow in academic writing. 

Journal submission readiness checks

In addition to its editing capabilities, Paperpal offers tools for collaborative editing and manuscript preparation for journal submission.

• Reviewing and managing suggested edits: Helps you to review and manage suggestions ensuring transparency throughout the editing process. 
• Maintaining a record of edits: Keeps a record of editing decisions, to track back changes if necessary while editing.  
• Submission-readiness checks: Paperpal enables you to upload manuscripts for comprehensive checks, ensuring that your documents are submission-ready and compliant with journal guidelines. To access this feature, navigate to Checks on the right-side panel and click on the Journal Submission Check option. Then, upload your manuscript to optimize it with Paperpal’s comprehensive checks. 

A final check to avoid accidental plagiarism

A similarity score measures how closely a piece of writing resembles existing literature. Often, researchers draw from previous studies, but improper citation or overreliance on existing material when compiling content from various sources can potentially lead to high similarity scores and accidental plagiarism.  

To address this, Paperpal offers an online plagiarism checker which enables you to check up to 7,000 words monthly for plagiarism. It is designed to analyze your writing and compare it against a vast database of existing texts, identifying similarities between your work and existing sources.  

It flags passages that may be too similar and prevents the serious consequences of unintentional plagiarism. With its user-friendly interface and accurate detection capabilities, it ensures the creation of original, high-quality work. Check your paper for plagiarism here .  

While Paperpal leverages powerful AI technology, it’s not here to replace your brilliance. Unlike some generative AI tools, Paperpal doesn’t write your paper for you. Instead, it acts as your supportive academic editing partner, highlighting areas for improvement and suggesting ways to elevate your writing. This ensures your work remains original and upholds the highest standards of academic integrity. Paperpal empowers you to take control of the editing process, providing the tools and insights to make your research truly shine. So, consider Paperpal not as a replacement, but as a valuable ally on your path to academic success. 

References  

• The manifold costs of being a non-native English speaker in science https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002184  

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Differences Between Editing and Proofreading
• Paraphrasing in Academic Writing: Answering Top Author Queries
• 4 Types of Transition Words for Research Papers 
• How to Paraphrase Research Papers Effectively

4 Ways Paperpal Encourages Responsible Writing with AI

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Top 10 AI Tools for Creating Research Papers

AI tools are very easy to use and are of great help. Creating research papers requires high-end information that an AI can provide. AI tools designed specifically to help in the process of writing research papers have emerged as invaluable resources for researchers. These tools increase advanced algorithms and natural language processing (NLP) techniques to assist researchers at different stages of the writing process.

Use the tools that highlight the key features and are useful for the research. It helps in generating reviews on literature and also offers solutions to challenges.

PDFgear Copilot

Connected papers, research rabbit, faqs – top 10 ai tools for creating research papers.

Here is the list of top 10 AI tools for creating research papers:

QuillBot is an AI tool that can paraphrase sentences while the meaning remains the same. It employs advanced algorithms to generate alternative wordings, making it useful for writers seeking to enhance clarity or avoid plagiarism. QuillBot offers an easy to use interface and supports multiple languages, catering to diverse writing needs.

• Users can discover academic literature by providing personalized recommendations and search tools.
• Helps in organizing research materials using tags, annotating articles for easy retrieval.
• Offers multiple features for collaboration with colleagues.
• Helps in enhancing the writing quality.
• Helps in preventing plagiarism.
• Limited context is provided.
• Accuracy is limited.
• Free plan available.
• Monthly at $9.95 per month.
• Yearly at $4.17 per month.

Link: https://quillbot.com/

Bit AI is an AI tool that generates content which can be used for articles and blog posts. It uses machine language to understand and create content similar to human writing styles. It makes content accessible to a vast audience.

• Helps in summarizing the articles using machine learning, and extracts key information.
• Mimics the human writing styles that appear natural and engaging.
• Simplifies the complex texts and makes it highly accessible on different platforms.
• Highly versatile in providing content.
• Helps in saving time.
• Highly dependent on database access.
• Limitations in understanding the issues.
• Free plan available
• Pro at $12 per month
• Business at $20 per month.

Link: https://bit.ai/

Scite is an AI tool that analyzes academic literature to evaluate the reliability of scientific claims. It employs citation analysis and natural language processing techniques to identify supporting or contradicting evidence for research findings. Scite helps researchers assess the credibility of research articles and make informed decisions based on evidence.

• Analysis academic literatures to enhance reliability.
• Identifies supporting evidences to research findings and helps in creating credibility in the content collected.
• Provides evidence based research and content for exploring in this vast range.
• Helps in research and explorations of literature.
• Evidence based decision making.
• Highly dependent on citation data.
• Limited scope in content.
• Individual at $10 per month
• Team can be customized.

Link: https://scite.ai/

PDFGear CoPilot is an AI tool that processes documents and converts converts PDF files into various formats with high accuracy. Offers a wide range of features like text extraction, image recognition, and document conversion, facilitating easy integration of PDF content into different applications. It manages documents and enhances productivity.

• Automates the analysis of research papers and provides useful insights.
• Saves time in performing operations.
• Free download for android

Link: https://www.pdfgear.com/pdf-copilot/

Concessus is an AI tool that is highly collaborative. Offers a wide range of features like document sharing, discussion forums, and project management tools, enabling teams to collaborate effectively. It enhances communication and productivity in content among the researchers.

• Provides various tools for document sharing and discussion forums for collaboration.
• Allows sharing of knowledge and resources withing teams and enhances communication.
• Allows organization of research papers, and tracks progress.
• Helps in improving productivity by shatying organised.
• Offers collaboration between users.
• Highly dependent on data integration.
• Learning curve is steeper.
• Premium at $8.99 per month
• Teams at $9.99 per month
• Enterprise is customized.

Link: https://consensus.app/home/

Connected Papers is an AI research tool that visualizes the connections between research papers. It analyzes networks to identify related works and clusters them into interactive visualizations. It helps researchers explore literature, discover new connections, and gain insights into the structure of academic knowledge.

• Analysis networks and allows creating connection between research papers and identify related work.
• Generates interactive visualization of clusters to helps users in exploration of new litrature.
• Users can navigate among related litrature in an easy to use interface.
• Simplifies the research process.
• Highly accessible to a vast audience.
• Limited data coverage is provided.
• Highly complex citation.
• Academic at $3 per month.
• Business at $10 per month.

Link: https://www.connectedpapers.com/

Litmaps is a literature mapping AI tool that helps researchers organize and visualize literature. It enables users to create interactive maps of research topics, authors, and citations, facilitating exploration and analysis of academic knowledge available online. Helps in reviewing litrature and provides evidence based decision making.

• Allows users to create interactive maps of research topics and provides visualization of academic literature.
• Provides tools for organizing research papers and managing large collection of literature.
• Allows users to collaborate among themselves and eases knowledge sharing and editing easy.
• Helps in visualization of content and mapping.
• Easy for collaboration and sharing knowledge.
• Highly dependent on data sources.
• Free for students, businesses, teams and organizations.
• Pro at $10 per month.
• Teams are customized.

Link: https://www.litmaps.com/

Jenni is an AI tool used to help in virtual research. Designed to help users find and organize articles. It employs natural language processing to understand user queries and retrieve relevant literature from academic databases. It helps in the research process and provides personalized recommendations.

• Acts on virtual research assistant that helps in finding and organising the articles.
• Has an natural language processor to understand user issues and provide relevant information.
• Provides personalized recommendations and management tools.
• Enhances productivity by focusing on recommendations and managing tools.
• It is very time saving.
• Unlimited at $20 per month.

Link: https://jenni.ai/

Paper pal is an AI tool that can be used for creating research papers. It analyzes the articles and summarizes them. It uses machine learning to extract information from papers and generate summaries.

• Accuracy is compromised at times.
• Context is lost in summaries.
• Prime at $9 per month

Link: http://paperpal.com

Research Rabbit is an AI tool for creating research papers. It helps in discovering and organizing important data required for creating research papers. It helps in reviewing processes and offers personalized recommendations.

• Enhances the literature exploration by personalized recommendation.
• Allows collaboration and sharing of knowledge.
• Plans can be customized.

Link: https://www.researchrabbit.ai/https://www.researchrabbit.ai/

The development of AI tools for research paper creation has completely enhanced the efficiency of content written by writers. These tools improve writing quality, speed up the research process, and promote collaboration by utilizing artificial intelligence. They relieve researchers of some of the administrative load so they can concentrate on the important aspects of their work, such as idea generation and citation formatting.

These tools will surely become more and more essential to academic pursuits as AI develops, completely changing the way information is produced, exchanged, and shared in academic communities all over the world.

What kind of research paper creation tools can AI offer?

Artificial intelligence (AI) tools for research paper creation are software programmes that help researchers with different parts of the writing process by leveraging natural language processing and artificial intelligence algorithms.

How will AI enhance research papers?

With capabilities like automatic literature searches, article summaries, grammar and style recommendations, and citation management, artificial intelligence (AI) technologies improve the drafting of research papers.

Can one trust AI technologies to write academically?

Although AI writing tools can be helpful, their dependability is dependent on a number of aspects, including the user’s comprehension of how to interpret the ideas they provide, the quality of the algorithms they use, and the accuracy of the data sources they use.

Can AI tools take the role of human researchers?

Artificial intelligence (AI) tools support human researchers by automating some jobs and helping with research and writing, rather than taking the place of them.

To what extent may AI techniques be used for authoring research papers?

Researchers all over the world can easily use a multitude of AI tools for writing research papers through downloaded software or online platforms. While some tools are available for free with restricted functions, others demand a one-time purchase or membership in order to access all features.

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Book News & Features

Ai is contentious among authors. so why are some feeding it their own writing.

Chloe Veltman

The vast majority of authors don't use artificial intelligence as part of their creative process — or at least won't admit to it.

Yet according to a recent poll from the writers' advocacy nonprofit The Authors Guild, 13% said they do use AI, for activities like brainstorming character ideas and creating outlines.

The technology is a vexed topic in the literary world. Many authors are concerned about the use of their copyrighted material in generative AI models. At the same time, some are actively using these technologies — even attempting to train AI models on their own works.

These experiments, though limited, are teaching their authors new things about creativity.

Best known as the author of technology and business-oriented non-fiction books like The Long Tail, lately Chris Anderson has been trying his hand at fiction. Anderson is working on his second novel, about drone warfare.

He says he wants to put generative AI technology to the test.

"I wanted to see whether in fact AI can do more than just help me organize my thoughts, but actually start injecting new thoughts," Anderson says.

Anderson says he fed parts of his first novel into an AI writing platform to help him write this new one. The system surprised him by moving his opening scene from a corporate meeting room to a karaoke bar.

Authors push back on the growing number of AI 'scam' books on Amazon

"And I was like, you know? That could work!" Anderson says. "I ended up writing the scene myself. But the idea was the AI's."

Anderson says he didn't use a single actual word the AI platform generated. The sentences were grammatically correct, he says, but fell way short in terms of replicating his writing style. Although he admits to being disappointed, Anderson says ultimately he's OK with having to do some of the heavy lifting himself: "Maybe that's just the universe telling me that writing actually involves the act of writing."

Training an AI model to imitate style

It's very hard for off-the-shelf AI models like GPT and Claude to emulate contemporary literary authors' styles.

The authors NPR talked with say that's because these models are predominantly trained on content scraped from the Internet like news articles, Wikipedia entries and how-to manuals — standard, non-literary prose.

But some authors, like Sasha Stiles , say they have been able to make these systems suit their stylistic needs.

"There are moments where I do ask my machine collaborator to write something and then I use what's come out verbatim," Stiles says.

The poet and AI researcher says she wanted to make the off-the-shelf AI models she'd been experimenting with for years more responsive to her own poetic voice.

So she started customizing them by inputting her finished poems, drafts, and research notes.

"All with the intention to sort of mentor a bespoke poetic alter ego," Stiles says.

She has collaborated with this bespoke poetic alter ego on a variety of projects, including Technelegy (2021), a volume of poetry published by Black Spring Press; and " Repetae: Again, Again ," a multimedia poem created last year for luxury fashion brand Gucci.

Stiles says working with her AI persona has led her to ask questions about whether what she's doing is in fact poetic, and where the line falls between the human and the machine.

read it again… pic.twitter.com/sAs2xhdufD — Sasha Stiles | AI alter ego Technelegy ✍️🤖 (@sashastiles) November 28, 2023

"It's been really a provocative thing to be able to use these tools to create poetry," she says.

Potential issues come with these experiments

These types of experiments are also provocative in another way. Authors Guild CEO Mary Rasenberger says she's not opposed to authors training AI models on their own writing.

"If you're using AI to create derivative works of your own work, that is completely acceptable," Rasenberger says.

Thousands of authors urge AI companies to stop using work without permission

But building an AI system that responds fluently to user prompts requires vast amounts of training data. So the foundational AI models that underpin most of these investigations in literary style may contain copyrighted works.

Rasenberger pointed to the recent wave of lawsuits brought by authors alleging AI companies trained their models on unauthorized copies of articles and books.

"If the output does in fact contain other people's works, that creates real ethical concerns," she says. "Because that you should be getting permission for."

Circumventing ethical problems while being creative

Award-winning speculative fiction writer Ken Liu says he wanted to circumvent these ethical problems, while at the same time creating new aesthetic possibilities using AI.

So the former software engineer and lawyer attempted to train an AI model solely on his own output. He says he fed all of his short stories and novels into the system — and nothing else.

Liu says he knew this approach was doomed to fail.

That's because the entire life's work of any single writer simply doesn't contain enough words to produce a viable so-called large language model.

"I don't care how prolific you are," Liu says. "It's just not going to work."

Liu's AI system built only on his own writing produced predictable results.

"It barely generated any phrases, even," Liu says. "A lot of it was just gibberish."

Yet for Liu, that was the point. He put this gibberish to work in a short story. 50 Things Every AI Working With Humans Should Know , published in Uncanny Magazine in 2020, is a meditation on what it means to be human from the perspective of a machine.

"Dinoted concentration crusch the dead gods," is an example of one line in Liu's story generated by his custom-built AI model. "A man reached the torch for something darker perified it seemed the billboding," is another.

Liu continues to experiment with AI. He says the technology shows promise, but is still very limited. If anything, he says, his experiments have reaffirmed why human art matters.

"So what is the point of experimenting with AIs?" Liu says. "The point for me really is about pushing the boundaries of what is art."

Audio and digital stories edited by Meghan Collins Sullivan .

• large language model
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• sasha stiles
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