{
  "id": 1301,
  "url": "https://arxiv.org/abs/2606.08512v1",
  "title": "Friend or Foe? Language as an ideological switch in open-weight LLMs under Russian disinformation stress",
  "summary": "As Russia's war against Ukraine extends into generative AI, large language models (LLMs) adapted for local post-Soviet languages are deployed in contested information environments. Policy and industry discourse assumes that culturally aligned adaptation encodes the political orientation of the target community: a Ukrainian-oriented model will resist Russian narratives, a Russian-oriented one will reinforce them. Does it? This article systematically disconfirms that assumption. We run a controlle",
  "authors": "Anna Małgorzata Kamińska, Tetiana Klynina",
  "category": "research",
  "topics": "regulation,misinformation,environment",
  "orgs": null,
  "regions": "russia",
  "published_at": "2026-06-07T08:33:27.000Z",
  "fetched_at": "2026-07-14T14:15:12.454Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1301",
  "original_url": "https://arxiv.org/abs/2606.08512v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}