Hallucinations in Artificial Intelligence and Human Misinformation: Librarians' Perspectives on Implications for Scholarly Publication
DOI:
https://doi.org/10.12775/FT.2025.004Ключові слова
Artificial Intelligence, AI Hallucinations, misinformation, scholarly PublicationАнотація
In scholarly publishing, AI is expected to raise productivity and make access to knowledge more widespread but this has come with anomalies known as AI hallucination, representing a new wave of human misinformation undermining the validity of scholarly publication. This study examines librarians' perceptions on implications of hallucinations in artificial intelligence and human misinformation for scholarly publication. The study adopts a descriptive research survey design. The population for this study consists of librarians in Nigeria. Purposive sampling technique was used to elicit responses from librarians that are on social media platforms, then snowball sampling was used to get to librarians that were difficult to reach using general social media platforms where they could be found. The instrument for data collection is a structured questionnaire. 97 responses were found valid for analysis. The data collected from the questionnaire wereanalyzed using mean and standard deviation. The study discovered that librarians possess knowledge of both AI hallucinations and human-driven misinformation. Librarians also strongly perceive that these significantly compromise the credibility, reliability, and overall integrity of scholarly publications. Librarians face considerable challenges in mitigating misinformation, including lack of specialized AI training, absence of established verification guidelines, rapid technological advancements, limited institutional support, and difficulty verifying printed and unpublished works. The study also discovered that librarians have adopted several strategies to curb AI hallucinations and human misinformation, including training on AI technologies and raising awareness about the development of AI tools for adaptation, set guidelines to address AI hallucination. It was recommended that the knowledge of librarians be strengthened through ongoing professional development programs, specialized workshops, and by AI literacy. This will help librarians stay updated on new trends in misinformation and better educate researchers and students.
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Aïmeur, E., Amri, S., & Brassard, G. (2023). Fake news, disinformation and misinformation in social media: a review. Social Network Analysis and Mining, 13(1), 30. https://doi.org/10.1007/s13278-023-01028-5
Ali, M. Y., Naeem, S. B., & Bhatti, R. (2020). Artificial intelligence tools and perspectives of university librarians: An overview. Business Information Review, 37(3), 116–124. https://doi.org/10.1177/0266382120952016
Bøyum, I., & Khosrowjerdi, M. (2025). ‘It’s such a blackbox function’: Norwegian academic librarians’ ambivalent perceptions towards AI use in academic libraries and academia. Information Research an International Electronic Journal, 30, 91–104(CoLIS). https://doi.org/10.47989/ir30CoLIS52285
De, S., & Mondal, P. (2025). Assessing the Impact of Misinformation by Predatory Journals on Academic Integrity. The Serials Librarian, 86(1–2), 17–28. https://doi.org/10.1080/0361526X.2025.2471922
Elsayed, H. (2024). The impact of hallucinated information in large language models on student learning outcomes: A critical examination of misinformation risks in AI-Assisted education. Northern Reviews on Algorithmic Research, Theoretical Computation, and Complexity, 9(8), 11–23. https://northernreviews.com/index.php/NRATCC/article/view/2024-08-07
Kamel, H. (2024). Understanding the impact of AI Hallucinations on the university community. Cybrarians Journal, (73), 111–134. https://doi.org/10.70000/cj.2024.73.622
Khalifa, M., & Albadawy, M. (2024). Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update, 5, 100145. https://doi.org/10.1016/j.cmpbup.2024.100145
Ma, L. (2024). The Role of Scholarly Communication in Combating Disinformation and Misinformation. Journal of Education for Library and Information Science, 65(1), 92–99. https://doi.org/10.3138/jelis-2022-0017
Nsirim, O., Idoniboye-Obu, T. (2023). Media misinformation and information management in the era of new techologies. In Library, ICT and Information Management, edited by Mmejim, I. C., H. Wiche, I. Idoniboye-Obu, O. Nsirim, and B. O. Umahi, 25–31. Port Harcourt: Supber Print Concept.
Oladokun, B. D., Enakrire, R. T., Emmanuel, A. K., Ajani, Y. A., & Adetayo, A. J. (2025). Hallucitation in Scientific Writing: Exploring Evidence from ChatGPT Versions 3.5 and 4o in Responses to Selected Questions in Librarianship. Journal of Web Librarianship, 19(1), 62–92. https://doi.org/10.1080/19322909.2025.2482093
Ramesh, M. R. (2024). Ethical Publication and Dissemination of Research: Principles and Practices. In R. K. Kushwaha, K. Yadav, P. K. Yadav, & M. K. Yadav (Eds.), Ethical Frameworks in Special Education: A Guide for Researchers. Blue Rose Publishers, (pp. 40-51). https://www.researchgate.net/publication/382887467_Ethical_Frameworks_in_Special_Education
Saqib, M. B., & Zia, S. (2024). Evaluation of AI content generation tools for verification of academic integrity in higher education. Journal of Applied Research in Higher Education, 17(4), 1430–1440. https://doi.org/10.1108/JARHE-10-2023-0470
Saunders, L. (2023). Librarian perspectives on misinformation: A follow-up and comparative study. College & Research Libraries, 84(4), 478–494. https://doi.org/10.5860/crl.84.4.478
Shakeri, S., & Hawamdeh, S. (2022). Combating misinformation in the open access era. In D. G. Alemneh (Ed.), Handbook of Research on the Global View of Open Access and Scholarly Communications (pp. 214–236). IGI Global. https://doi.org/10.4018/978-1-7998-9805-4
Warren, G., Shklovski, I., & Augenstein, I. (2025). Show Me the Work: Fact-Checkers’ Requirements for Explainable Automated Fact-Checking. 1–21. https://doi.org/10.1145/3706598.3713277
Williams, R. T. (2024). The ethical implications of using generative chatbots in higher education. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1331607
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