The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis.

Soheil Hassanipour, Sandeep Nayak, Ali Bozorgi, Mohammad-Hossein Keivanlou, Tirth Dave, Abdulhadi Alotaibi, Farahnaz Joukar, Parinaz Mellatdoust, Arash Bakhshi, Dona Kuriyakose, Lakshmi D Polisetty, Mallika Chimpiri, Ehsan Amini-Salehi
Author Information
  1. Soheil Hassanipour: Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ORCID
  2. Sandeep Nayak: Department of Internal Medicine, Yale New Haven Health Bridgeport Hospital, Bridgeport, NY, United States. ORCID
  3. Ali Bozorgi: Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran. ORCID
  4. Mohammad-Hossein Keivanlou: Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ORCID
  5. Tirth Dave: Department of Internal Medicine, Bukovinian State Medical University, Chernivtsi, Ukraine. ORCID
  6. Abdulhadi Alotaibi: Department of Medicine, Vision Colleges, Riyadh, Saudi Arabia. ORCID
  7. Farahnaz Joukar: Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ORCID
  8. Parinaz Mellatdoust: Dipartimento di Elettronica Informazione Bioingegneria, Politecnico di Milano, Milan, Italy. ORCID
  9. Arash Bakhshi: Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ORCID
  10. Dona Kuriyakose: Department of Internal Medicine, St. Joseph's Mission Hospital, Anchal, Kollam District Kerala, India. ORCID
  11. Lakshmi D Polisetty: Department of Internal Medicine, Yale New Haven Health Bridgeport Hospital, Bridgeport, NY, United States. ORCID
  12. Mallika Chimpiri: UCLA Neuroscience, Los Angeles, CA, United States. ORCID
  13. Ehsan Amini-Salehi: Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ORCID

Abstract

Background: The introduction of ChatGPT by OpenAI has garnered significant attention. Among its capabilities, paraphrasing stands out.
Objective: This study aims to investigate the satisfactory levels of plagiarism in the paraphrased text produced by this chatbot.
Methods: Three texts of varying lengths were presented to ChatGPT. ChatGPT was then instructed to paraphrase the provided texts using five different prompts. In the subsequent stage of the study, the texts were divided into separate paragraphs, and ChatGPT was requested to paraphrase each paragraph individually. Lastly, in the third stage, ChatGPT was asked to paraphrase the texts it had previously generated.
Results: The average plagiarism rate in the texts generated by ChatGPT was 45% (SD 10%). ChatGPT exhibited a substantial reduction in plagiarism for the provided texts (mean difference -0.51, 95% CI -0.54 to -0.48; P<.001). Furthermore, when comparing the second attempt with the initial attempt, a significant decrease in the plagiarism rate was observed (mean difference -0.06, 95% CI -0.08 to -0.03; P<.001). The number of paragraphs in the texts demonstrated a noteworthy association with the percentage of plagiarism, with texts consisting of a single paragraph exhibiting the lowest plagiarism rate (P<.001).
Conclusions: Although ChatGPT demonstrates a notable reduction of plagiarism within texts, the existing levels of plagiarism remain relatively high. This underscores a crucial caution for researchers when incorporating this chatbot into their work.

Keywords

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MeSH Term

Plagiarism
Humans
Writing

Word Cloud

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