The authors present and test a framework that combines LLM-based social media agents with formal opinion dynamics, finding that polarized agent discussions change how human participants perceive emotionality, group identity, and uncertainty.
, author Bullo, F
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physics.soc-ph 1years
2025 1verdicts
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Human-Agent Interaction in Synthetic Social Networks: A Framework for Studying Online Polarization
The authors present and test a framework that combines LLM-based social media agents with formal opinion dynamics, finding that polarized agent discussions change how human participants perceive emotionality, group identity, and uncertainty.