在进化游戏分析框架内传播谣言
Deliang Li1, Yi Zhao1, Yang Deng1
1The School of Science, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China 518055.
Chaos (Woodbury, N.Y.)
|March 14, 2025
概括
这项研究引入了一种新的模型来了解在线谣言的传播,将媒体的影响与政府和用户互动相结合. 更严格的政府控制和更少的媒体参与有效地减少了谣言传播.
科学领域:
- 社交网络分析分析
- 计算社会科学 计算社会科学
- 信息传播建模信息传播建模
背景情况:
- 在社交媒体上传播谣言是一个越来越令人担忧的问题.
- 信息传播受到内容,用户行为和媒体活动的影响.
- 现有的模型往往缺乏对多个参与者互动的全面视图.
研究的目的:
- 提出一个新的谣言传播交互模型.
- 将传言传播的动态与三方进化游戏相结合.
- 分析网民,媒体和政府在社交平台上的互动.
主要方法:
- 开发了一种结合传闻传播和进化游戏理论的新型模型.
- 用物理信息的神经网络进行模拟.
- 将谣言模型参数集成到三方进化游戏矩阵中.
- 模拟现实世界的谣言从美国推特平台传播数据.
主要成果:
- 政府控制概率与制谣言传播有积极的相关性.
- 媒体传播谣言的可能性降低,谣言揭露的可能性增加.
- 减少政府控制成本导致干预增加,媒体传播减少,反驳更多.
结论:
- 拟议的模型提供了关于谣言传播动态的实际见解.
- 政府监管和媒体行为显著影响在线谣言的传播.
- 该模型量化了监管努力和平台参与者之间的相互作用.
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