用AI模拟人格特质，发现非对抗性沟通更有效纠正假信息
Personality Modeling for Persuasion of Misinformation using AI Agent
- 构建六类人格AI代理，通过对话模拟假信息传播规律
- 批判性人格在艾滋病假信息讨论中成功率59.4%，非对抗策略超40%
- 揭示说服力非线性关系，适合设计个性化反假信息策略
社交媒体上假信息泛滥凸显了理解个体人格特质如何影响其对假信息的易感性与传播行为的重要性。本研究采用创新的基于代理的建模方法，利用六名体现大五人格特质（外向性、宜人性、神经质）的AI代理，在六个不同假信息主题下模拟互动。实验基于AgentScope框架，使用GLM-4-Flash模型，生成90次独特交互，揭示人格组合对说服与抵抗假信息的复杂影响。研究发现，分析性和批判性人格特质能显著提升基于证据讨论的效果；而非攻击性说服策略在假信息纠正中表现出意外成效。值得注意的是，具备批判性特质的代理在艾滋病相关假信息讨论中成功率达59.4%，采用非攻击性方法的代理在不同人格组合下持续保持超过40%的说服率。研究还揭示了说服有效性存在非传递性模式，挑战了传统基于人格影响力的认知。这些结果为数字环境中发展人格感知干预措施提供了关键洞见，表明有效的假信息应对策略应优先注重情感联结与信任建立，而非对抗性方式。研究既深化了对人格-假信息动态的理论认知，也为社交媒体场景下的假信息防控提供了实践路径。
原文摘要 · Abstract (English)
The proliferation of misinformation on social media platforms has highlighted the need to understand how individual personality traits influence susceptibility to and propagation of misinformation. This study employs an innovative agent-based modeling approach to investigate the relationship between personality traits and misinformation dynamics. Using six AI agents embodying different dimensions of the Big Five personality traits (Extraversion, Agreeableness, and Neuroticism), we simulated interactions across six diverse misinformation topics. The experiment, implemented through the AgentScope framework using the GLM-4-Flash model, generated 90 unique interactions, revealing complex patterns in how personality combinations affect persuasion and resistance to misinformation. Our findings demonstrate that analytical and critical personality traits enhance effectiveness in evidence-based discussions, while non-aggressive persuasion strategies show unexpected success in misinformation correction. Notably, agents with critical traits achieved a 59.4% success rate in HIV-related misinformation discussions, while those employing non-aggressive approaches maintained consistent persuasion rates above 40% across different personality combinations. The study also revealed a non-transitive pattern in persuasion effectiveness, challenging conventional assumptions about personality-based influence. These results provide crucial insights for developing personality-aware interventions in digital environments and suggest that effective misinformation countermeasures should prioritize emotional connection and trust-building over confrontational approaches. The findings contribute to both theoretical understanding of personality-misinformation dynamics and practical strategies for combating misinformation in social media contexts.
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