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Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences

Author

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  • Marian Oliński

    (Institute of Management and Quality Sciences, Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

  • Krzysztof Krukowski

    (Institute of Management and Quality Sciences, Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

  • Kacper Sieciński

    (Institute of Management and Quality Sciences, Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

Abstract

This study delves into a bibliometric analysis of ChatGPT, an AI tool adept at analysing and generating text, highlighting its influence in the realm of social sciences. By harnessing data from the Scopus database, a total of 814 relevant publications were selected and scrutinised through VOSviewer, focusing on elements such as co-citations, keywords and international collaborations. The objective is to unearth prevailing trends and knowledge gaps in scholarly discourse regarding ChatGPT’s application in social sciences. Concentrating on articles from the year 2023, this analysis underscores the rapid evolution of this research domain, reflecting the ongoing digital transformation of society. This study presents a broad thematic picture of the analysed works, indicating a diversity of perspectives—from ethical and technological to sociological—regarding the implementation of ChatGPT in the fields of social sciences. This reveals an interest in various aspects of using ChatGPT, which may suggest a certain openness of the educational sector to adopting new technologies in the teaching process. These observations make a contribution to the field of social sciences, suggesting potential directions for future research, policy or practice, especially in less represented areas such as the socio-legal implications of AI, advocating for a multidisciplinary approach.

Suggested Citation

  • Marian Oliński & Krzysztof Krukowski & Kacper Sieciński, 2024. "Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences," Publications, MDPI, vol. 12(1), pages 1-16, March.
    • Handle: RePEc:gam:jpubli:v:12:y:2024:i:1:p:9-:d:1360866
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    References listed on IDEAS

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    1. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
    2. Andrew Kirby, 2023. "Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool," Publications, MDPI, vol. 11(1), pages 1-14, February.
    3. Christian Fisch & Joern Block, 2018. "Six tips for your (systematic) literature review in business and management research," Management Review Quarterly, Springer, vol. 68(2), pages 103-106, April.
    4. John Hulland & Mark B. Houston, 2020. "Why systematic review papers and meta-analyses matter: an introduction to the special issue on generalizations in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 351-359, May.
    5. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
    6. Chokri Kooli, 2023. "Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions," Sustainability, MDPI, vol. 15(7), pages 1-15, March.
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