Dynamic Evaluation of Governance Strategies for Mitigating Social Media Data Pollution: An Agent-Based Modeling Approach
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https://ieee-dataport.org/documents/dynamic-evaluation-governance-strategies-mitigating-social-media-data-pollution-agent-0
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资源简介：
This project aims to simulate the spread of data pollution on social media platforms, particularly caused by AI-generated content (such as synthetic text). It evaluates the effectiveness of different governance strategies, including legal interventions and platform self-regulation. The experiment uses Agent-Based Modeling (ABM) and is implemented through the NetLogo platform, enabling simulation, data export, and subsequent visualization.
提供机构：
Kai Liu; Han Huang; Qingxing Zeng; Jingyu Lin
