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ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing

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  • Brady D. Lund
  • Ting Wang
  • Nishith Reddy Mannuru
  • Bing Nie
  • Somipam Shimray
  • Ziang Wang

Abstract

This article discusses OpenAI's ChatGPT, a generative pre‐trained transformer, which uses natural language processing to fulfill text‐based user requests (i.e., a “chatbot”). The history and principles behind ChatGPT and similar models are discussed. This technology is then discussed in relation to its potential impact on academia and scholarly research and publishing. ChatGPT is seen as a potential model for the automated preparation of essays and other types of scholarly manuscripts. Potential ethical issues that could arise with the emergence of large language models like GPT‐3, the underlying technology behind ChatGPT, and its usage by academics and researchers, are discussed and situated within the context of broader advancements in artificial intelligence, machine learning, and natural language processing for research and scholarly publishing.

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  • Brady D. Lund & Ting Wang & Nishith Reddy Mannuru & Bing Nie & Somipam Shimray & Ziang Wang, 2023. "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 & Technology, Association for Information Science & Technology, vol. 74(5), pages 570-581, May.
  • Handle: RePEc:bla:jinfst:v:74:y:2023:i:5:p:570-581
    DOI: 10.1002/asi.24750
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    References listed on IDEAS

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    Cited by:

    1. Janik Ole Wecks & Johannes Voshaar & Benedikt Jost Plate & Jochen Zimmermann, 2024. "Generative AI Usage and Exam Performance," Papers 2404.19699, arXiv.org, revised Nov 2024.
    2. Li-Yuan Huang & Xun Zhang & Qiang Wang & Zhen-Song Chen & Yang Liu, 2024. "Evaluating Media Knowledge Capabilities of Intelligent Search Dialogue Systems: A Case Study of ChatGPT and New Bing," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 17284-17307, December.
    3. Kuldip Singh & Elizabeth Caroline Agustine & Nur Farhani Binti Samasu & Nur Aida Binti Kipli, 2024. "Exploring Students’ Perceptions of ChatGPT: A Study of Public University in Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(11), pages 1387-1397, November.
    4. Wenjie Gu & Zhonggen Yu, 2025. "A bibliometric analysis of the application of AI chatbots in language learning contexts," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 639-661, February.
    5. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    6. Frode Eika Sandnes, 2024. "Can we identify prominent scholars using ChatGPT?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 713-718, January.
    7. Raihan, Asif, 2024. "A review of the potential opportunities and challenges of the digital economy for sustainability," Innovation and Green Development, Elsevier, vol. 3(4).
    8. Kayvan Kousha, 2024. "How is ChatGPT acknowledged in academic publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7959-7969, December.
    9. Junwei Su & Shan Wu & Jinhui Li, 2024. "MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning," Papers 2401.14199, arXiv.org, revised Feb 2024.
    10. Andres Karjus, 2025. "Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
    11. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Dwivedi, Yogesh K. & Malik, Tegwen, 2024. "The effects of artificial intelligence applications in educational settings: Challenges and strategies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    12. Crumbly, Jack & Pal, Raktim & Altay, Nezih, 2025. "A classification framework for generative artificial intelligence for social good," Technovation, Elsevier, vol. 139(C).
    13. Guido Schryen & Mauricio Marrone & Jiaqi Yang, 2025. "Exploring the scope of generative AI in literature review development," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-26, December.
    14. Rana, Nripendra P. & Pillai, Rajasshrie & Sivathanu, Brijesh & Malik, Nishtha, 2024. "Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance," Technovation, Elsevier, vol. 135(C).

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