论文标题
在线仇恨和反语音的影响和动态
Impact and dynamics of hate and counter speech online
论文作者
论文摘要
公民生成的反言论是与仇恨言论和促进和平，非极性话语作斗争的一种有前途的方式。但是，缺乏关于其减少仇恨言论的有效性的大规模纵向研究。为此，我们使用几种不同的宏观和微观措施对反语音的有效性进行了探索性分析，以分析四年来德国Twitter在德国Twitter上进行的18万个政治对话。我们报告了随着时间的推移，仇恨和反语音的动态互动，并提供有关在“经典”欺凌情况下是否在指导在线话语方面的独立个人更有效的见解。综上所述，我们的结果构成了在线仇恨和反语音动态的多方面图片。尽管由于话语动态的复杂性，我们没有提出任何因果主张，但我们的发现表明，有组织的仇恨言论与公共话语的变化有关，并且反言论（尤其是在有组织时）可能有助于抑制在线话语中的仇恨言论。
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a lack of large-scale longitudinal studies of its effectiveness for reducing hate speech. To this end, we perform an exploratory analysis of the effectiveness of counter speech using several different macro- and micro-level measures to analyze 180,000 political conversations that took place on German Twitter over four years. We report on the dynamic interactions of hate and counter speech over time and provide insights into whether, as in `classic' bullying situations, organized efforts are more effective than independent individuals in steering online discourse. Taken together, our results build a multifaceted picture of the dynamics of hate and counter speech online. While we make no causal claims due to the complexity of discourse dynamics, our findings suggest that organized hate speech is associated with changes in public discourse and that counter speech -- especially when organized -- may help curb hateful rhetoric in online discourse.
