让一个流行病有意义:在智力暗网中对COVID-19进行推理
1National Consortium for the Study of Terrorism and Responses to Terrorism, University of Maryland, College Park, MD, United States.
Frontiers in sociology
|October 1, 2024
概括
在COVID-19期间,r/IntellectualDarkWeb子网的用户使用"异端科学"建立了反体制身份. 它们加强了对疫苗和专家的反对意见,同时惩罚了反对内容.
科学领域:
- 社会科学 社会科学 社会科学
- 计算社会科学 计算社会科学
- 在线社区研究 社区研究
背景情况:
- 随着COVID-19的流行,在线话语和独特的集体身份的形成发生了重大变化.
- 像Reddit这样的在线社区是创造意义和构建身份的平台,特别是围绕有争议的问题.
- 了解特定的在线团体如何塑造身份,在数字时代至关重要.
研究的目的:
- 分析r/IntellectualDarkWeb subreddit的用户是如何构建反体制集体身份的.
- 调查"异端科学"推理在COVID-19大流行期间塑造这种身份的作用.
- 检查在线平台机制对身份形成和话语两极分化的影响.
主要方法:
- 在COVID-19大流行期间对r/IntellectualDarkWeb的帖子和评论进行话语分析.
- 应用BERTopic算法用于对COVID-19相关讨论的主题建模和聚类.
- 聚类主题的定性内容分析,以了解话语的用户动员.
主要成果:
- 关于COVID-19在subreddit中的讨论被两极分为"反对"和"反反对"的线条.
- 相反的内容 (疫苗怀疑,对专家的不信任) 通过用户的上调投票得到了压倒性的肯定.
- 反对的内容 (捍卫专业知识,打击错误信息) 通过用户的反对票被处罚.
- 雷迪特的评分机制放大了对立的集体身份的强化.
结论:
- 在疫情期间,r/IntellectualDarkWeb社区加强了以"异端科学"为中心的反派集体身份.
- 在线平台的功能,如Reddit的评分系统,显著影响集体身份形成的动态.
- 该研究强调了集体身份在理解当代在线社会运动和反动团体方面具有持久的相关性.
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