AI RESEARCH
Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias
arXiv CS.AI
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ArXi:2601.06194v2 Announce Type: replace-cross As large language models (LLMs) are increasingly deployed, understanding how they express political positioning is important for evaluating alignment and downstream effects. We audit 26 contemporary LLMs using three political psychometric inventories (Political Compass, SapplyValues, 8Values) and a news bias labeling task. To test robustness, inventories are administered across multiple semantic prompt variants and analyzed with a two-way ANOVA separating model and prompt effects.