ChatGPT Plagiarism in the Academic Field: Exploration and Analysis of Plagiarism Effects

Luo Haiqiong, Kong Hoiio
Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing, PMLR 245:177-187, 2024.

Abstract

This article explores the plagiarism problem of ChatGPT in the education field in detail and proposes a study to evaluate its plagiarism effect. First, it introduces ChatGPT as an important innovation based on GPT technology, its application and potential impact in the field of natural language processing. The article then focuses on the plagiarism concerns caused by ChatGPT in academia and points out the countermeasures some schools have taken. Then, the article raises research questions, aiming to explore the actual effect of ChatGPT in paper plagiarism detection, and describes the research methods and premise assumptions in detail. By rewriting and plagiarism checking analysis of a series of papers in the education field, the study attempts to evaluate ChatGPT’s performance in terms of plagiarism and explore factors that may affect the degree of plagiarism. Finally, the article conducts a detailed statistical analysis of the experimental results and puts forward suggestions for further research to emphasize the importance of academic integrity and the call for the correct use of ChatGPT.

Cite this Paper

BibTeX
@InProceedings{pmlr-v245-haiqiong24a, title = {ChatGPT Plagiarism in the Academic Field: Exploration and Analysis of Plagiarism Effects}, author = {Haiqiong, Luo and Hoiio, Kong}, booktitle = {Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing}, pages = {177--187}, year = {2024}, editor = {Nianyin, Zeng and Pachori, Ram Bilas}, volume = {245}, series = {Proceedings of Machine Learning Research}, month = {26--28 Apr}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v245/main/assets/haiqiong24a/haiqiong24a.pdf}, url = {https://proceedings.mlr.press/v245/haiqiong24a.html}, abstract = {This article explores the plagiarism problem of ChatGPT in the education field in detail and proposes a study to evaluate its plagiarism effect. First, it introduces ChatGPT as an important innovation based on GPT technology, its application and potential impact in the field of natural language processing. The article then focuses on the plagiarism concerns caused by ChatGPT in academia and points out the countermeasures some schools have taken. Then, the article raises research questions, aiming to explore the actual effect of ChatGPT in paper plagiarism detection, and describes the research methods and premise assumptions in detail. By rewriting and plagiarism checking analysis of a series of papers in the education field, the study attempts to evaluate ChatGPT’s performance in terms of plagiarism and explore factors that may affect the degree of plagiarism. Finally, the article conducts a detailed statistical analysis of the experimental results and puts forward suggestions for further research to emphasize the importance of academic integrity and the call for the correct use of ChatGPT.} }
Endnote
%0 Conference Paper %T ChatGPT Plagiarism in the Academic Field: Exploration and Analysis of Plagiarism Effects %A Luo Haiqiong %A Kong Hoiio %B Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing %C Proceedings of Machine Learning Research %D 2024 %E Zeng Nianyin %E Ram Bilas Pachori %F pmlr-v245-haiqiong24a %I PMLR %P 177--187 %U https://proceedings.mlr.press/v245/haiqiong24a.html %V 245 %X This article explores the plagiarism problem of ChatGPT in the education field in detail and proposes a study to evaluate its plagiarism effect. First, it introduces ChatGPT as an important innovation based on GPT technology, its application and potential impact in the field of natural language processing. The article then focuses on the plagiarism concerns caused by ChatGPT in academia and points out the countermeasures some schools have taken. Then, the article raises research questions, aiming to explore the actual effect of ChatGPT in paper plagiarism detection, and describes the research methods and premise assumptions in detail. By rewriting and plagiarism checking analysis of a series of papers in the education field, the study attempts to evaluate ChatGPT’s performance in terms of plagiarism and explore factors that may affect the degree of plagiarism. Finally, the article conducts a detailed statistical analysis of the experimental results and puts forward suggestions for further research to emphasize the importance of academic integrity and the call for the correct use of ChatGPT.
APA
Haiqiong, L. & Hoiio, K.. (2024). ChatGPT Plagiarism in the Academic Field: Exploration and Analysis of Plagiarism Effects. Proceedings of 2024 International Conference on Machine Learning and Intelligent Computing, in Proceedings of Machine Learning Research 245:177-187 Available from https://proceedings.mlr.press/v245/haiqiong24a.html.

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