Towards Simulating Social Influence Dynamics with LLM-based Multi-agents

• URL: http://arxiv.org/abs/2507.22467v1
• Date: Wed, 30 Jul 2025 08:14:40 GMT
• Title: Towards Simulating Social Influence Dynamics with LLM-based Multi-agents
• Authors: Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang,
• Abstract summary: We investigate whether multi-agent simulations can reproduce core human social dynamics observed in online forums.<n>Our findings indicate that smaller models exhibit higher conformity rates, whereas models optimized for reasoning are more resistant to social influence.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Recent advancements in Large Language Models offer promising capabilities to simulate complex human social interactions. We investigate whether LLM-based multi-agent simulations can reproduce core human social dynamics observed in online forums. We evaluate conformity dynamics, group polarization, and fragmentation across different model scales and reasoning capabilities using a structured simulation framework. Our findings indicate that smaller models exhibit higher conformity rates, whereas models optimized for reasoning are more resistant to social influence.

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