Understanding Generative AI-mediated User Engagement with Academic Library Resources
A study found a significant increase in AI-mediated traffic to academic library resources, driven by platforms like ChatGPT. The traffic mainly accessed electronic theses and dissertations.
- AI-mediated traffic to academic library resources increased significantly after integrating linked citation features
- ChatGPT, Perplexity, and Gemini are the primary platforms driving AI-mediated traffic
- Electronic theses and dissertations are the most accessed resources through AI-mediated discovery pathways
- AI retrieval mechanisms are effective in directing users to relevant academic library resources
The study analyzed web analytics from August 2023 to October 2025 to understand the impact of generative AI on user engagement with academic library resources.
The research identified a substantial increase in AI-mediated traffic, particularly after the integration of linked citation features. This suggests that AI retrieval mechanisms are effective in directing users to relevant resources.
The study also found that a significant portion of users reached the institutional repository, primarily accessing electronic theses and dissertations. This pattern indicates that AI-mediated discovery pathways are becoming increasingly important for academic libraries.
The findings of this study have implications for the development of AI-mediated discovery systems and the role of academic libraries in supporting user engagement with their resources.
students can benefit from AI-mediated discovery pathways to access relevant academic resources
AI is changing how users engage with academic library resources
- generative AI
- a type of artificial intelligence that can generate human-like text or other content
- linked citation features
- features that allow users to access cited sources through links
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