LLM political alignment is instrument-dependent: models that look left-of-center on Smartvote questionnaires align with centrist parties on Swiss referendum votes, with large language- and refusal-driven variation.
The self-perception and political biases of ChatGPT.Human Behavior and Emerging Technologies
5 Pith papers cite this work, alongside 99 external citations. Polarity classification is still indexing.
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Big Five inventories fail to capture meaningful differences or recover the five-factor structure in LLMs, with only 3% variance between models and four facets collapsing (r >= .92).
Exploratory user study of 48 participants finds trade-offs in efficiency, contextual alignment, and social comfort when AI writing assistance varies along synchronous and visual dimensions.
PCT is a reinforcement learning approach that trains LLMs for symmetric sentiment and helpfulness across paired opposing political prompts, reducing covert bias while preserving general performance.
Training data for open LLMs is systematically left-leaning, with pre-training corpora containing more political material than post-training data and model stances aligning with data distributions.
citing papers explorer
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Progressive in Principle, Centrist in Practice: LLM Political Bias Is Instrument-Dependent
LLM political alignment is instrument-dependent: models that look left-of-center on Smartvote questionnaires align with centrist parties on Swiss referendum votes, with large language- and refusal-driven variation.
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Personality Without Persons? A Psychometric Critique of Big Five Testing in Large Language Models
Big Five inventories fail to capture meaningful differences or recover the five-factor structure in LLMs, with only 3% variance between models and four facets collapsing (r >= .92).
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"It Felt a Bit Eerie": Exploring Humanlike Interactions During Collaborative Writing with an Artificial Agent
Exploratory user study of 48 participants finds trade-offs in efficiency, contextual alignment, and social comfort when AI writing assistance varies along synchronous and visual dimensions.
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Reducing Political Manipulation with Consistency Training
PCT is a reinforcement learning approach that trains LLMs for symmetric sentiment and helpfulness across paired opposing political prompts, reducing covert bias while preserving general performance.
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What Is The Political Content in LLMs' Pre- and Post-Training Data?
Training data for open LLMs is systematically left-leaning, with pre-training corpora containing more political material than post-training data and model stances aligning with data distributions.