研究风险评估模型和模拟在紧急情况下的在线群体两极分化
1MuDanjiang Medicine University, MuDanjiang, HeiLongjiang, China.
PloS one
|June 17, 2024
概括
这项研究模拟了公共卫生紧急情况期间的在线群体两极分化,确定了影响极端意见形成和传播的情绪指导和生活压力等因素.
科学领域:
- 公共卫生 公共卫生
- 计算社会科学 计算社会科学
- 信息科学 信息科学 信息科学
背景情况:
- 在公共卫生危机期间的在线信息动态是复杂的.
- 群体两极分化,极端观点的扩大,对公共卫生传播构成风险.
- 了解在线两极分化的驱动因素对于管理论至关重要.
研究的目的:
- 开发一个框架来分析在突发公共卫生事件期间在线信息中的群体两极分化风险.
- 使用相变空间概念构建在线群体极化模拟模型.
- 确定影响极端观点形成和传播的关键因素.
主要方法:
- 提出了一个关于集团两极分化风险结构的框架.
- 开发了一个基于相变空间和网络用户行为的模拟模型.
- 使用 Anylogic 软件进行系统动态模拟进行分析.
主要成果:
- 该模型有效地模拟了在线公共卫生紧急话语中极端观点的形成和传播.
- 确定了影响群体两极分化的关键因素,包括情绪指导,减热和生活压力.
- 通过模拟预测了在线群体两极分化的演变趋势.
结论:
- 开发的模型为了解公共卫生紧急情况中的在线群体两极分化提供了一个强大的工具.
- 情绪指导,减热和生活压力是极端意见形成的重要限制.
- 有效的管理策略应应对这些因素,以减轻两极分化风险.
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