AI-DRIVEN PERSONALIZATION OF LIBRARY CONTENT ON SOCIAL MEDIA: A LITERATURE REVIEW OF USER ACCEPTANCE AND ETHICAL CONCERNS
DOI:
https://doi.org/10.35631/JISTM.1144029Keywords:
Artificial Intelligence (AI), Social Media, AI Literacy, Library Services, User Acceptance, EthicsAbstract
Artificial intelligence (AI) offers libraries opportunities to personalize social media content and enhance information services, but its use raises concerns about user acceptance, privacy, bias, transparency, and accountability. This study reviews the literature on AI-driven personalized library content on social media to identify factors influencing user acceptance, examine ethical concerns, and develop recommendations for responsible implementation. A structured literature review was conducted using Scopus AI. The findings identify perceived usefulness, ease of use, trust, personalization quality, privacy, transparency, and AI literacy as key considerations in user acceptance. Major ethical concerns include privacy, algorithmic bias, and misinformation. The review suggests that responsible AI personalization requires transparent data practices, user consent, human oversight, bias monitoring, and clear institutional policies. The study consolidates current knowledge on user acceptance and ethical considerations and provides practical directions for responsible AI implementation in library social media.
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