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The use of artificial intelligence (AI) in research: a review of author guidelines in leading journals across eight social science disciplines

Author

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  • Manuel Goyanes

    (Universidad Carlos III de Madrid)

  • Carlos Lopezosa

    (Universidad de Barcelona)

  • Valeriano Piñeiro-Naval

    (Universidad de Salamanca)

Abstract

In recent years, generative artificial intelligence (such as ChatGPT) has significantly transformed the scientific domain. This shift has raised concerns about how scientific journals should adapt to these new technologies and the ethical implications they pose for the scientific craft. This study addresses these concerns by examining how top-ranked journals across eight disciplines (communication, economics, education, ethics, healthcare, linguistics, sociology, and political science) are adapting their author guidelines in response to the use of artificial intelligence in research. The content analysis reveals that 73.8% of journals mention the use of AI for drafting sections of articles, while references to its use in literature reviews are notably absent. Additionally, 61.3% of the journals mandate transparency regarding AI usage in research, but only 12% address privacy and data protection issues. There are notable differences across disciplines in their acceptance and regulation of AI: communication and sociology show greater openness to AI use, while economics remains more conservative. These findings suggest a growing acceptance of AI in certain stages of the research process, while also highlighting significant caution in its application to critical areas such as literature reviews.

Suggested Citation

  • Manuel Goyanes & Carlos Lopezosa & Valeriano Piñeiro-Naval, 2025. "The use of artificial intelligence (AI) in research: a review of author guidelines in leading journals across eight social science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(7), pages 3725-3741, July.
    • Handle: RePEc:spr:scient:v:130:y:2025:i:7:d:10.1007_s11192-025-05377-0
    DOI: 10.1007/s11192-025-05377-0
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    References listed on IDEAS

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    1. Manuel Goyanes & Luis de-Marcos & Adrián Domínguez-Díaz, 2024. "Automatic gender detection: a methodological procedure and recommendations to computationally infer the gender from names with ChatGPT and gender APIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6867-6888, November.
    2. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    3. Frode Eika Sandnes, 2024. "Can we identify prominent scholars using ChatGPT?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 713-718, January.
    4. Enrique Orduña-Malea & Álvaro Cabezas-Clavijo, 2023. "ChatGPT and the potential growing of ghost bibliographic references," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5351-5355, September.
    5. Kai Li & Jason Rollins & Erjia Yan, 2018. "Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 1-20, April.
    6. DonHee Lee & Seong No Yoon, 2021. "Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges," IJERPH, MDPI, vol. 18(1), pages 1-18, January.
    7. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    8. Eungi Kim, 2024. "Analyzing AI use policy in LIS: association with journal metrics and publisher volume," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7623-7644, December.
    9. Lutz Bornmann & Lingfei Wu & Christoph Ettl, 2024. "The use of ChatGPT for identifying disruptive papers in science: a first exploration," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7161-7165, November.
    10. Kayvan Kousha, 2024. "How is ChatGPT acknowledged in academic publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7959-7969, December.
    11. Joost Winter, 2024. "Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(4), pages 2469-2487, April.
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