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Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study

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As users increasingly turn to Large Language Models (LLMs) for information and advice on political matters, particularly during election periods, the political preferences expressed by these systems have become a matter of public interest. Prior research has shown that interactions with LLMs can influence users' political attitudes and choices, raising questions about how these models themselves evaluate political actors.

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arXiv Machine Learning
1d ago

Large Language Models as Implicit Sociological Models: Reconstructing Voting Behaviour from Sociodemographic Profiles

arXiv:2608. 15871v1 Announce Type: cross Abstract: Large language models (LLMs) trained on large-scale internet corpora encode extensive statistical regularities about social identities, attitudes, and political behaviour.

By Roman Neruda, Martin Bako\v{s}, Josef \v{S}lerka, V\'it Tu\v{c}ek, Petra Vidnerov\'a, Gabriela Kadlecov\'a