The launch of Grokipedia, an AI-generated encyclopedia developed by Elon Musk's xAI, was presented as a response to perceived ideological and structural biases in Wikipedia, aiming to produce "truthful" entries using the Grok large language model. Yet whether an AI-driven alternative can escape the biases and limitations of human-edited platforms remains unclear. This study conducts a large-scale computational comparison of 17,790 matched article pairs from the 20,000 most-edited English Wikipedia pages. Using metrics spanning lexical richness, readability, reference density, structural features, and semantic similarity, we assess how closely the two platforms align in form and substance. We find that Grokipedia articles are substantially longer and contain significantly fewer references per word. Moreover, Grokipedia's content divides into two distinct groups: one that remains semantically and stylistically aligned with Wikipedia, and another that diverges sharply. Among the dissimilar articles, we observe a systematic rightward shift in the political bias of frequently cited news media sources, concentrated primarily in entries related to history and religion, and literature and art. More broadly, the findings indicate that AI-generated encyclopedic content departs from established editorial norms, favoring narrative expansion over citation-based verification, raising questions about transparency, provenance, and the governance of knowledge in automated information systems.

翻译：格罗基百科（Grokipedia）是由埃隆·马斯克的xAI公司开发的AI生成百科全书，其发布旨在回应维基百科中存在的意识形态与结构偏见，试图利用Grok大语言模型生成“真实”条目。然而，AI驱动的替代品能否规避人工编辑平台的偏见与局限性尚不明朗。本研究对20000个编辑次数最多的英文维基百科页面中17790对匹配文章进行了大规模计算比较。通过词汇丰富度、可读性、引用密度、结构特征及语义相似性等指标，我们评估了两个平台在形式与内容上的一致性。结果发现：格罗基百科文章篇幅显著更长，且每词引用数量明显更少。此外，格罗基百科内容可划分为两类：一类在语义和风格上与维基百科保持一致，另一类则显著偏离。在差异较大的文章中，我们观察到高频引用的新闻媒体来源存在系统性右倾政治倾向偏移，这一现象主要集中在历史与宗教、文学与艺术类条目中。更广泛而言，研究结果表明AI生成的百科全书内容偏离了既有的编辑规范，倾向于叙事扩展而非基于引用的验证，这引发了关于自动化信息系统中透明度、溯源及知识治理的质疑。