研究生成式AI如何引导用户发现图书馆资源，揭示其关键作用。
Understanding Generative AI-mediated User Engagement with Academic Library Resources
- 通过分析2023年8月至2025年10月网页数据，识别出AI驱动的访问流量增长
- ChatGPT、Perplexity和Gemini是主要引流平台，大量用户最终访问机构典藏库
- 结构化元数据与开放获取链接使资源更易被AI检索，适合图书馆策展参考
本研究实证分析了生成式AI作为学术图书馆资源新兴发现路径的作用。基于2023年8月至2025年10月的网页数据分析，发现集成链接引文功能后，AI介导的访问流量显著上升。引用来源分析显示，ChatGPT、Perplexity和Gemini为主要引流平台。大量用户抵达机构典藏库，主要访问电子学位论文。该现象表明，具备结构化元数据、稳定永久链接、开放获取的资源更易被AI检索系统暴露。研究揭示了当前AI生态对图书馆资源的曝光机制，强调需持续监测并制定应对策略以适应不断演化的AI环境。
原文摘要 · Abstract (English)
This study empirically analyzed generative AI as an emerging discovery pathway to academic library resources. Utilizing web analytics from August 2023 to October 2025, the research identifies a significant increase in AI-mediated traffic, particularly following the integration of linked citation features. Referral analysis identified ChatGPT, Perplexity, and Gemini as the primary platforms driving this traffic. A substantial portion of users reached the institutional repository, primarily accessing electronic theses and dissertations. This pattern suggests that AI retrieval mechanisms effectively surface resources with structured metadata and stable permalinks that are Open Access and freely available. The results illustrate how AI ecosystems currently expose library resources and underscore the need for continued analysis and a strategic response to the evolving AI landscape.
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