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arXiv · 2507.22467

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

Hsien-Tsung Lin·Pei-Cing Huang·Chan-Tung Ku·Chan Hsu·Pei-Xuan Shieh·Yihuang Kang
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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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Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang. 2025-07-30. Towards Simulating Social Influence Dynamics with LLM-based Multi-agents. https://arxiv.org/abs/2507.22467

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