mlsanityData to 7 Oct 2026

Is Grokipedia Right-Leaning? Comparing Political Framing in Wikipedia and Grokipedia on Controversial Topics

arXiv 2601.15484 ↗First posted 21 Jan 2026cs.IR cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

Online encyclopedias are central to contemporary information infrastructures and have become focal points of debates over ideological bias. Wikipedia, in particular, has long been accused of left-leaning bias, while Grokipedia, an AI-generated encyclopedia launched by xAI, has been framed as a right-leaning alternative. This paper presents a comparative analysis of Wikipedia and Grokipedia on well-established politically contested topics. Specifically, we examine differences in semantic framing, political orientation, and content prioritization. We find that semantic similarity between the two platforms decays across article sections and diverges more strongly on controversial topics than on randomly sampled ones. Additionally, we show that both encyclopedias predominantly exhibit left-leaning framings, although Grokipedia exhibits a more bimodal distribution with increased prominence of right-leaning content. The experimental code is publicly available.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 21 Jan 2026.

Builds on

6 of 21 references.

References · 6

  1. 2013A Theoretical Analysis of NDCG Type Ranking Measurescited by 119
  2. 2015It's a Man's Wikipedia? Assessing Gender Inequality in an Online Encyclopediacited by 30
  3. 2023Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspapercited by 9
  4. 2025What did Elon change? A comprehensive analysis of Grokipediacited by 4
  5. 2025Unexpected Knowledge: Auditing Wikipedia and Grokipedia Search Recommendationscited by 2
  6. 2017Dynamics of Content Quality in Collaborative Knowledge Productioncited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.