通过将其视为一个动态过程来更好地理解在线两极分化
Célina Treuillier1, Sylvain Castagnos2, Christèle Lagier3
1Université de Lorraine, CNRS, LORIA, Vandœuvre-lès-Nancy, France. celina.treuillier@loria.fr.
Scientific reports
|April 15, 2024
概括
社交网络的两极分化是一个动态的过程,不仅仅是意识形态. 它的演变取决于辩论的成熟度和现实世界的事件,为有针对性的脱极化策略铺平了道路.
科学领域:
- 政治科学 政治科学是指政治学.
- 数据科学数据科学数据科学
- 计算社会科学 计算社会科学
背景情况:
- 两极分化往往过于简单化,通过意识形态或情感镜头狭地看待.
- 现有的两极化概念缺乏共识,通常是近似的.
- 社交媒体在两极分化中的作用经常被假定而不是深入分析.
研究的目的:
- 分析两极化作为一个连续的过程,整合政治和数据科学观点.
- 为了比较成熟 (COVID-19疫苗) 与新兴 (乌克兰冲突) 辩论中的两极分化动态.
- 检查推特用户和法国普通人口的两极分化,超越美国的背景.
主要方法:
- 在不同辩论类型和群体中对两极分化过程进行比较分析.
- 利用来自Twitter用户和法国人口的数据.
- 纵向研究设计,以追踪随时间推移的极化变化.
主要成果:
- 证实了极化是一个时间过程,通过不同的阶段进化.
- 这些阶段的持续时间和存在取决于辩论的成熟度.
- 特定背景的事件显著加快并影响着两极分化过程.
结论:
- 极化是一个动态的,取决于背景的现象,它是顺序地展开的.
- 了解两极化的时间和事件驱动性质至关重要.
- 这项研究使得能够开发出针对特定辩论及其阶段的新个性化脱极化策略.
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