{"ID":2888700,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.22467","arxiv_id":"2507.22467","title":"Towards Simulating Social Influence Dynamics with LLM-based Multi-agents","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.","short_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 acr...","url_abs":"https://arxiv.org/abs/2507.22467","url_pdf":"https://arxiv.org/pdf/2507.22467v1","authors":"[\"Hsien-Tsung Lin\",\"Pei-Cing Huang\",\"Chan-Tung Ku\",\"Chan Hsu\",\"Pei-Xuan Shieh\",\"Yihuang Kang\"]","published":"2025-07-30T08:14:40Z","proceeding":"cs.MA","tasks":"[\"cs.MA\",\"cs.AI\",\"cs.CY\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}