Using generative Artificial Intelligence as a tool to support librarians

a comparison between ChatGPT, GEMINI, DeepSeek, Grok, CoPilot and CatalogerGPT in cataloging

Authors

DOI: https://doi.org/10.6018/analesdoc.678511
Keywords: Cataloging, Artificial Intelligence (AI), Generative AI

Abstract

Artificial Intelligence (AI) tools are becoming increasingly integrated into society, transforming a wide range of sectors and reshaping workplace practices. In this context, Library and Information Science can also benefit from these technologies, particularly through the automation of repetitive tasks such as cataloging. This study analyzed the use of AI for the creation of bibliographic records. Adopting a qualitative, exploratory, and descriptive approach, the research evaluated the performance of six generative AI tools: ChatGPT, Gemini, DeepSeek, Grok, Copilot, and CatalogerGPT, the latter specifically designed to support cataloging activities. The same prompts were applied to all six tools, enabling a comparative analysis of their outputs. The results, deposited in Zenodo in accordance with Open Science principles, showed that Gemini and CatalogerGPT produced the most complete responses. However, all the tools exhibited errors and hallucinations in certain aspects. The study concludes that AI can serve as a valuable support tool for Library and Information Science professionals, although it still requires expert supervision and validation.

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Author Biographies

Edna Karina da Silva Lira, Universidade Federal de Santa Catarina (UFSC)

PhD Candidate and Master in Information Science at the Federal University of Santa Catarina (2022–2024). Librarian, graduated from the Federal University of Rio Grande (FURG), with an academic exchange in Information Science at the University of Coimbra, Portugal (2021–2022). Researcher and member of the Research and Studies Group on Contemporary Archives (NUPEAC) – Research line: Labor Market in Information Science.

Gilmar Gomes de Barros, Universidade Federal de Santa Catarina (UFSC)

Librarian. Master in Administration from the Graduate Program in Administration (PPGA) at the Federal University of Rio Grande (FURG, 2023). PhD Candidate in Information Science at the Graduate Program in Information Science, Federal University of Santa Catarina (PGCin-UFSC).

Márcia Carvalho Rodrigues, Universidade Federal do Rio Grande (FURG)

PhD in Social Memory and Cultural Heritage (UFPel, 2017). Professor at the Federal University of Rio Grande (FURG), where she serves as Associate Coordinator of the Graduate Program in Information Science (PPGCI) and teaches in the Library Science and Archival Science programs. She has experience in the field of Information Science, with an emphasis on Library Science, working mainly on the following topics: bibliographic heritage, special collections, rare books, cataloging, and provenance in the context of Library Science. Leader of Proveniência: Research Group on Information and Memory.

Franciesca Goulart Santos, Universidade Federal do Rio Grande (FURG)

Undergraduate student in Library Science at the Federal University of Rio Grande (FURG). Volunteer scholarship holder at the Institutional Repository of FURG. Member of the research group CITEG – Science, Information, Technology, and Management.

Edgar Bisset Alvarez, Universidade Federal de Santa Catarina (UFSC)

PhD in Information Science from the Graduate Program in Information Science at São Paulo State University (UNESP), with a doctoral exchange period at the University of Murcia, Spain. He works as a Professor in the undergraduate and graduate programs of the Department of Information Science at the Center for Education Sciences, Federal University of Santa Catarina (UFSC). He previously served as Coordinator of the Graduate Program in Information Science at UFSC and as Editor of Revista Encontros Bibli. He was also an Assistant Professor at the Faculty of Social Communication and Senior Specialist at the Information Directorate of the University of Havana, as well as Coordinator of the University of Havana Library Network.

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Published
04-07-2026
How to Cite
Lira, E. K. da S., Barros, G. G. de, Rodrigues, M. C., Santos, F. G., & Bisset Alvarez, E. (2026). Using generative Artificial Intelligence as a tool to support librarians: a comparison between ChatGPT, GEMINI, DeepSeek, Grok, CoPilot and CatalogerGPT in cataloging. Information Science Journal, 29. https://doi.org/10.6018/analesdoc.678511
Issue
Vol. 29 (2026)
Section
Research notes and surveys
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