Controlled audit of language-tuned LLMs reveals a Fine-Tuning Paradox where Ukrainian-oriented models resist Russian disinformation less in Russian than Russian-oriented models do, indicating corpus and prompt factors outweigh cultural provenance.
Algorithms, Bots, and Political Communication in the US 2016 Election: The Challenge of Automated Political Communication for Election Law and Administration
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Friend or Foe? Language as an ideological switch in open-weight LLMs under Russian disinformation stress
Controlled audit of language-tuned LLMs reveals a Fine-Tuning Paradox where Ukrainian-oriented models resist Russian disinformation less in Russian than Russian-oriented models do, indicating corpus and prompt factors outweigh cultural provenance.