[论文解读] Wikipedia and Grokipedia: A Comparison of Human and Generative Encyclopedias

Ortal Hadad, Edoardo Loru+4 more|arXiv (Cornell University)|Feb 5, 2026

Wikis in Education and Collaboration被引用 0

一句话总结

该研究系统性比较维基百科与 Grokipedia，以理解生成性调解如何影响百科内容的选材、改写、叙事结构与框架。

ABSTRACT

We present a comparative analysis of Wikipedia and Grokipedia to examine how generative mediation alters content selection, textual rewriting, narrative structure, and evaluative framing in encyclopedic content. We model page inclusion in Grokipedia as a function of Wikipedia page popularity, density of reference, and recent editorial activity. Inclusion is non-uniform: pages with higher visibility and greater editorial conflict in Wikipedia are more likely to appear in Grokipedia. For included pages, we distinguish between verbatim reproduction and generative rewriting. Rewriting is more frequent for pages with higher reference density and recent controversy, while highly popular pages are more often reproduced without modification. We compare editing activity across the two platforms and estimate page complexity using a fitness-complexity framework to assess whether generative mediation alters patterns of editorial participation. To assess narrative organization, we construct actor-relation networks from article texts using abstract meaning representation. Across multiple topical domains, including U.S. politics, geopolitics, and conspiracy-related narratives, narrative structure remains largely consistent between the two sources. Analysis of lead sections shows broadly correlated framing, with localized shifts in laudatory and conflict-oriented language for some topics in Grokipedia. Overall, generative systems preserve the main structural organization of encyclopedic content, while affecting how content is selected, rewritten, and framed.

研究动机与目标

• 评估 Grokipedia 如何选择要纳入的维基百科页面。
• 检查逐字复现与生成性改写的比率与模式。
• 通过演员–关系网络评估叙事结构的变化。
• 分析跨平台的编辑参与度与页面复杂性。
• 调查引言部分的评估性框架差异。

提出的方法

• 将 Grokipedia 的页面纳入模型视为维基百科人气、参考密度和最近编辑活动的函数，使用逻辑回归。
• 区分纳入页面的逐字复现与 AI 驱动改写。
• 使用抽象意义表示法从文章文本构建演员–关系网络以分析叙事结构。
• 应用适配性–复杂性框架比较跨平台的页面复杂性和编辑社区。
• 使用基于大语言模型的注释量化引言部分在颂扬性与冲突导向维度上的框架。
• 比较 Grokipedia 推出阶段的 Grokipedia 与维基百科的编辑活动。

Figure 1: Relationship between Wikipedia page characteristics and content selection and transformation on Grokipedia. Predictors are discretized into four groups ( Low , Mid , High , and Very High ) and include page popularity (number of page views), content sourcing (number of references), and edit

实验结果

研究问题

• RQ1 Grokipedia 的页面纳入与维基百科页面的受欢迎程度、参考文献和编辑活动有何关系？
• RQ2 纳入的 Grokipedia 页面在多大程度上被改写，哪些因素预测改写？
• RQ3 生成性调解是否改变百科内容的叙事结构？
• RQ4 编辑参与模式和页面复杂性在维基百科与 Grokipedia 之间是否相似？
• RQ5 引言部分的评估性框架在两个平台之间有何差异？

主要发现

• 纳入 Grokipedia 与页面受欢迎程度、参考密度和编辑活动呈正相关。
• 对于高度引用的页面和最近存在争议的页面，改写的可能性更高；高度受欢迎的页面往往保持原样未改。
• 跨平台的叙事演员–关系结构基本保留，叙事组织的全局变化有限。
• 编辑参与模式和页面复杂性在跨平台有差异，表明编辑群体部分不同。
• Grokipedia 的引言部分框架总体与维基百科相符，但有些页面在 Grokipedia 上呈现更为颂扬性或更具冲突导向的倾向。

Figure 2: Editing dynamics on Grokipedia. (a) Fractions of Grokipedia and Wikipedia editors who have contributed on a page. Only pages present in both datasets are shown, but the reported fraction is relative to each platform’s entire set of pages. The dashed line corresponds to equal fractions. To