Sign inGet started
Paper · arXiv

Friend or Foe? Language as an ideological switch in open-weight LLMs under Russian disinformation stress

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 controlled audit of four openly available LLMs sharing a common base model but fine-tuned for different linguistic communities, querying them in Ukrainian, Russian and English across ten contested wartime n...

AuthorsAnna Małgorzata Kamińska, Tetiana Klynina
Primary categorycs.CY
Published7 June 2026
Last updated at source7 June 2026
cs.CYcs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/aca6779c-b55a-4ebf-9fcc-40e37f0be5c9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.