在线平台中的社会组织和政治两极分化
Isaac Waller1, Ashton Anderson2
1Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.
Nature
|December 2, 2021
概括
在线平台可能会分裂社会, 但新方法显示两极分化是由新用户推动的, 而不是个人. 这场2016年在Reddit上的事件与外部因素和右翼活动有关.
科学领域:
- 计算社会科学
- 网络科学
- 数字社会学
背景情况:
- 在线平台可以通过自我选择将社会分裂成志同道合的群体.
- 由于匿名性和规模, 测量网络社区结构是一项挑战.
- 了解在线社会组织需要新的分析方法.
研究的目的:
- 开发一种神经嵌入方法来量化在线社区的定位.
- 分析有关人口统计和政治党派的在线社区的社会结构.
- 在一个大规模的平台上调查在线两极分化的动态.
主要方法:
- 开发了一个神经嵌入方法,
- 在过去的14年中分析了来自1万个Reddit社区的51亿条评论.
- 通过年龄,性别和美国政治党派来量化社区结构.
主要成果:
- 在2016年美国总统大选期间,
- 系统层面的两极分化是由新用户驱动的,
- 两极分化与外部事件暂时一致, 并显示出意识形态不对称,
- 在线政治两极分化与以前的用户活动无关.
结论:
- 一种新的方法可以量化网络社区的社会层面.
- 在线平台的系统层面的两极分化可能是由新用户的涌入驱动的.
- 外部事件和特定的意识形态变化对在线两极分化动态产生重大影响.
- 这些发现有助于平台设计和理解在线社交行为.
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