Artificial intelligence in digital media, humanities, and information science: a multidimensional analysis of research trends and user perceptions

Abstract

The integration of Artificial Intelligence (AI) in digital media, humanities, and information science has rapidly transformed scholarly communication, digital knowledge management, and academic information retrieval. Despite significant advances, limited research explores AI’s potential in academic libraries, digital repositories, and scholarly publishing. This study examines research trends and user perceptions of AI in knowledge dissemination and management, addressing a gap in understanding its impact. This study maps global research trajectories and explores scholars’ views on the importance of AI in Library and Information Science (LIS) through a mixed-method approach combining bibliometric and web-based sentiment analysis. The key finding highlights that AI most significantly impacts automated metadata indexing, citation analysis, and AI-driven recommendation systems. The study calls for creating interdisciplinary collaboration, bettering AI transparency, and finding solutions to the ethical issues of bias and privacy protection. This research helps form the responsible integration of AI in LIS and digital knowledge systems.

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