生成式AI驱动的学术图书馆资源用户参与研究:以ChatGPT、Perplexity、Gemini为例

Understanding Generative AI-mediated User Engagement with Academic Library Resources

精选理由

这篇论文用两年多的真实数据,告诉你ChatGPT、Perplexity、Gemini怎么把用户引向学术图书馆的论文和学位论文,适合关心AI如何改变学术搜索的人。

AI 摘要

该研究利用2023年8月至2025年10月的网络分析数据,实证分析了生成式AI作为学术图书馆资源的新发现路径。结果显示,集成链接引用功能后,AI中介流量显著增加,主要来源平台为ChatGPT、Perplexity和Gemini。大量用户通过AI访问机构知识库,主要获取电子学位论文。研究发现,具有结构化元数据和稳定永久链接的开放获取资源更容易被AI检索系统发现。

原文 · arXiv cs.AI

Understanding Generative AI-mediated User Engagement with Academic Library Resources

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.

生成式AI驱动的学术图书馆资源用户参与研究:以ChatGPT、Perplexity、Gemini为例 · AI 热点