mlsanityData to 7 Oct 2026

Will ChatGPT get you caught? Rethinking of Plagiarism Detection

arXiv 2302.04335 ↗First posted 8 Feb 2023cs.AIcited by 41

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Abstract (arXiv)

The rise of Artificial Intelligence (AI) technology and its impact on education has been a topic of growing concern in recent years. The new generation AI systems such as chatbots have become more accessible on the Internet and stronger in terms of capabilities. The use of chatbots, particularly ChatGPT, for generating academic essays at schools and colleges has sparked fears among scholars. This study aims to explore the originality of contents produced by one of the most popular AI chatbots, ChatGPT. To this end, two popular plagiarism detection tools were used to evaluate the originality of 50 essays generated by ChatGPT on various topics. Our results manifest that ChatGPT has a great potential to generate sophisticated text outputs without being well caught by the plagiarism check software. In other words, ChatGPT can create content on many topics with high originality as if they were written by someone. These findings align with the recent concerns about students using chatbots for an easy shortcut to success with minimal or no effort. Moreover, ChatGPT was asked to verify if the essays were generated by itself, as an additional measure of plagiarism check, and it showed superior performance compared to the traditional plagiarism-detection tools. The paper discusses the need for institutions to consider appropriate measures to mitigate potential plagiarism issues and advise on the ongoing debate surrounding the impact of AI technology on education. Further implications are discussed in the paper.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). Builds on 0 of its 23 references that are in the map. First posted on arXiv 8 Feb 2023.

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Citing papers per year: 2023: 27; 2024: 11; 2025: 2; 2026: 1.

41 papers.

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  2. 2023On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspectivecited by 208
  3. 2023ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learningcited by 203
  4. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
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  6. 2023AugGPT: Leveraging ChatGPT for Text Data Augmentationcited by 128
  7. 2023Testing of Detection Tools for AI-Generated Textcited by 86
  8. 2023Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilitiescited by 76
  9. 2024A Complete Survey on LLM-based AI Chatbotscited by 71
  10. 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
  11. 2023CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTractscited by 39
  12. 2023HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysiscited by 30
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  4. 2024StyloAI: Distinguishing AI-Generated Content with Stylometric Analysiscited by 17
  5. 2023Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitationscited by 16
  6. 2023ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Timecited by 12
  7. 2023Beyond Black Box AI-Generated Plagiarism Detection: From Sentence to Document Levelcited by 10
  8. 2023The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARDcited by 9
  9. 2024RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigmcited by 8
  10. 2023Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Datacited by 7
  11. 2024(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detectioncited by 7
  12. 2023Early ChatGPT User Portrait through the Lens of Datacited by 6
  13. 2024Humanizing the Machine: Proxy Attacks to Mislead LLM Detectorscited by 6
  14. 2025CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMscited by 6
  15. 2024The Battle of LLMs: A Comparative Study in Conversational QA Taskscited by 5
  16. 2024Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integritycited by 5
  17. 2023Performance of Large Language Models in a Computer Science Degree Programcited by 4
  18. 2023Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Educationcited by 4
  19. 2023ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking aboutcited by 3
  20. 2024Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessmentscited by 3
  21. 2023DEMASQ: Unmasking the ChatGPT Wordsmithcited by 2
  22. 2023Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomycited by 1
  23. 2023AI Content Self-Detection for Transformer-based Large Language Modelscited by 1
  24. 2024ChatGPT in Research and Education: Exploring Benefits and Threatscited by 1
  25. 2026Assessment Design in the AI Era: A Method for Identifying Items Functioning Differentially for Humans and Chatbotscited by 1
  26. 2023Word Definitions from Large Language Modelscited by 0
  27. 2024How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?cited by 0
  28. 2024ConvNLP: Image-based AI Text Detectioncited by 0
  29. 2025AIDetection: A Generative AI Detection Tool for Educators Using Syntactic Matching of Common ASCII Characters As Potential 'AI Traces' Within Users' Internet Browsercited by 0