全球网络仇恨生态的隐藏性和适应力
N F Johnson1, R Leahy2, N Johnson Restrepo2
1Physics Department, George Washington University, Washington, DC, USA. neiljohnson@gwu.edu.
Nature
|August 23, 2019
概括
在线仇恨网络形成全球
科学领域:
- 网络科学
- 计算社会科学
- 社会学
背景情况:
- 网络上的仇恨和极端主义故事与现实世界的暴力有关, 包括仇恨犯罪,青年自杀,大规模枪击和极端主义招募.
- 社交媒体平台正在努力应对网络仇恨的蔓延,
- 在单个平台上监控网上仇恨的现有努力可能是无效或反作用的.
研究的目的:
- 了解网上仇恨网络的性和动态.
- 开发一个有效干预网络仇恨和类似非法行为的框架.
主要方法:
- 分析相互关联的仇恨集群的全球网络动态.
- 开发一个数学模型来预测特定平台的警务的影响.
- 对模仿化学键形成的网络自我修复机制的观察.
- 为干预策略提出政策矩阵.
主要成果:
- 网络上的仇恨通过跨越平台,国家和语言的相互连接的'仇恨高速公路'来运作.
- 特定平台的警务可以无意中为网上仇恨创造"暗池".
- 网上仇恨网络在微观层面上表现出快速自我修复的能力.
- 一个新的政策矩阵为干预提供了一个结构化的方法.
结论:
- 了解网络中的网络动态对于打击网络仇恨至关重要.
- 需要采用多方面的政策方法,考虑到干预的细节性和方向性.
- 建议的政策矩阵可以应用于各种非法在线行为,
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