{
  "id": 14096,
  "url": "https://arxiv.org/abs/2607.25526",
  "title": "Estimating the Geopolitical Preferences of Large Language Models from United Nations Voting Data",
  "summary": "arXiv:2607.25526v1 Announce Type: new Abstract: How should researchers measure the geopolitical preferences expressed by large language models (LLMs)? Existing audits commonly rely on surveys and simple tests, but international-relations research has long recognized that measuring geopolitical preferences is difficult and has developed methods for recovering them from observed choices. This paper applies a dynamic ordinal ideal-point approach from international relations, treating LLMs as respon",
  "authors": "Maxim Chupilkin",
  "category": "research",
  "topics": "transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T04:00:00.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14096",
  "original_url": "https://arxiv.org/abs/2607.25526",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}