解封两极分化:在线互动的签名网络中的对抗和对齐
Emma Fraxanet1, Max Pellert2, Simon Schweighofer3
1Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain.
PNAS nexus
|December 20, 2024
概括
当社会分歧对齐时,政治冲突就会加剧. 一种新的计算方法,FAULTANA (FAULT-line Alignment Network Analysis),确定了推动在线讨论两极分化的关键问题,揭示了社会断层线.
科学领域:
- 计算社会科学 计算社会科学
- 政治科学 政治科学是指政治学.
- 网络分析 网络分析
背景情况:
- 政治冲突是民主国家固有的,但如果极端,可能会破坏稳定.
- 社会分裂,或分裂,历史上塑造了政治景观,但它们的解释力已经减弱.
- 了解当代的两极分化需要新的方法来分析在线交互.
研究的目的:
- 引入FAULTANA (FAULT-line Alignment Network Analysis),这是一个新的计算管道,用于发现在线互动中的主要社会断层线.
- 量化在线辩论中的对立和对齐,以确定两极分化的子问题.
- 分析在线社区的情感两极化动态.
主要方法:
- 开发并应用FAULTANA管道来分析已签名的在线交互.
- 在辩论中量化对立和对齐,以确定推动两极分化的问题.
- 利用来自美国推特事实检查社区 (Birdwatch) 和奥地利在线报纸论坛 (DerStandard) 的大规模数据集.
主要成果:
- 在Birdwatch和DerStandard在线社区中确定了两个不同的,政治上一致的群体.
- 确定了在DerStandard论坛上加强社会分裂和推动两极分化的具体问题.
- 观察到一些问题,如COVID-19,触发冲突而不严格与主要的社会断层线保持一致.
结论:
- 福尔塔纳有效地揭示了潜在的社会断层线,并量化了在线讨论中的两极分化.
- 该方法为加剧社会分裂的形问题提供了洞察力.
- 对在线社区的分析提供了对情感两极分化的动态观点,在关键事件期间受到凝聚力和分裂的影响.
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