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arXiv 2512.03337cs.SIcs.CLcs.CYcs.DL
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知识替代:Grokipedia的AI生成百科全书如何重构权威

Epistemic Substitution: How Grokipedia's AI-Generated Encyclopedia Restructures Authority

Department of Communication University of California, Davis(传播学系加州大学戴维斯分校)

Aliakbar Mehdizadeh, Faezeh Khazaee, Martin Hilbert

AI总结:

Grokipedia通过AI生成百科全书重构了知识权威,其来源结构与维基百科不同,且存在知识论档案的显著差异。

摘要:

二十五年前,维基百科去中心化、众包和共识驱动的模式取代了传统的集中式、专家驱动和基于权威的知识编纂标准。生成式AI百科全书的出现,如Grokipedia,可能预示着另一种知识演化的潜在转变。本研究探讨AI和人工编纂的百科全书是否依赖相同的权威基础。我们对72对匹配文章的引用网络进行了多尺度比较分析,这些文章引用了总计近6万份来源。使用8类知识分类,我们映射了每个平台上文章的

英文摘要:

For more than two decades, Wikipedia has represented a decentralized, human-curated model of encyclopedic knowledge production. The emergence of AI-generated encyclopedias, such as Grokipedia, raises a fundamental question: do human- and AI-curated knowledge systems rely on the same foundations of epistemic authority? We examine this question through a comparative analysis of 1,000 matched Wikipedia--Grokipedia article pairs, comprising nearly 600,000 citation instances. Using an eight-category classification scheme, we construct the epistemic profiles of articles to examine the institutional composition of their cited sources. Our findings reveal substantial differences in sourcing practices. Grokipedia relies proportionally less on academic and journalistic sources and more on user-generated content and NGO and think-tank publications. These differences persist across broad topic domains, although their magnitude varies by subject. We also find that Grokipedia adds citations approximately linearly as articles grow, whereas Wikipedia exhibits greater variation in citation density. Together, these findings suggest a shift in the institutional sources invoked to justify encyclopedic claims, which we characterize as epistemic substitution. For the same topics, the two encyclopedias rest on different institutional sources. Our findings underscore the importance of systematic, ongoing audits of information provenance for accountability in generative knowledge systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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