Personality Modeling for Persuasion of Misinformation using AI Agent
Qianmin Lou, Wentao Xu

TL;DR
This study uses AI agents embodying Big Five personality traits to simulate and analyze how personality influences susceptibility and resistance to misinformation, revealing complex patterns and effective intervention strategies.
Contribution
It introduces an agent-based modeling approach with personality traits to study misinformation dynamics, providing new insights into persuasion effectiveness and intervention design.
Findings
Critical traits improve evidence-based discussion success
Non-aggressive strategies are unexpectedly effective
Agents with critical traits achieved 59.4% success in HIV misinformation
Abstract
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…
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Taxonomy
TopicsOpinion Dynamics and Social Influence
