用大模型模拟社交网络中观点传播与反谣言策略
Simulating Influence Dynamics with LLM Agents
- 结合社会学理论与先进大模型构建动态仿真工具
- 支持研究者分析信息传播与虚假信息对抗机制
- 无需编程基础，适合社科、心理与运筹学者使用
本文提出一种面向意见动态研究者的仿真工具，用于在社交网络中建模基于大语言模型的代理之间的竞争性影响。通过融合已有的意见动态理论与前沿大模型技术，该工具能够研究影响传播过程及反虚假信息策略。对于社会学、心理学和运筹学领域的研究人员而言，该工具无需复杂编码即可分析社会现象。此外，仿真器将开源发布于 GitHub，便于研究者扩展其功能以支持自身研究。
原文摘要 · Abstract (English)
This paper introduces a simulator designed for opinion dynamics researchers to model competing influences within social networks in the presence of LLM-based agents. By integrating established opinion dynamics principles with state-of-the-art LLMs, this tool enables the study of influence propagation and counter-misinformation strategies. The simulator is particularly valuable for researchers in social science, psychology, and operations research, allowing them to analyse societal phenomena without requiring extensive coding expertise. Additionally, the simulator will be openly available on GitHub, ensuring accessibility and adaptability for those who wish to extend its capabilities for their own research.
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