Analysis and Research on Generative Artificial Intelligence in the Field of International Library and Information Science

Generative artificial intelligence is an artificial intelligence technology based on deep learning whose core lies in leveraging computer algorithms and training data to generate new, practically valuable content, encompassing text, images, audio, videos, etc. This technology is poised to exert profound impacts on the transformation and development of libraries. Drawing on generative artificial intelligence research publications in the field of international library and information science included in the Scopus database as the data source, this paper employs CiteSpace software and SciVal tools to conduct a visual analysis of literature outputs, core authors, journal sources, and keywords. The results show that generative artificial intelligence research in the international library and information science field is applied primarily in areas such as reference services, information literacy education, and smart libraries. Recommendations are made to promote the application and development of generative artificial intelligence technology in libraries by strengthening technological research and application, boosting data analysis and data sharing, emphasizing information security and privacy protection, promoting cross-boundary integration and ecological development, etc.