论文标题
在Twitter上的在线气候变化话语中的情感两极分化
Affective Polarization in Online Climate Change Discourse on Twitter
论文作者
论文摘要
在线社交媒体已成为围绕不同的社会文化和政治话题组织的重要平台。一项广泛的奖学金已经讨论了人们如何将人们分为类似回声的群体。但是，缺乏与量化两个竞争群体之间的敌对交流或\ textit {情感极化}有关的工作。本文提出了一种基于网络的系统方法，用于检查在线对话中的情感极化。此外，我们将框架应用于有关气候变化的100周Twitter论述。我们发现，对气候变化的否认者（不信任者）对那些相信（信徒）对人为气候变化的人的敌意比反之亦然。此外，与信徒相比，在敌对的几周内，不信者使用更多与自然灾害有关的单词和主题标签。这些发现对研究在线话语中的情感两极化的影响，尤其是关于气候变化主题的影响。最后，我们在日益重要的气候变化沟通研究的背景下讨论了我们的发现。
Online social media has become an important platform to organize around different socio-cultural and political topics. An extensive scholarship has discussed how people are divided into echo-chamber-like groups. However, there is a lack of work related to quantifying hostile communication or \textit{affective polarization} between two competing groups. This paper proposes a systematic, network-based methodology for examining affective polarization in online conversations. Further, we apply our framework to 100 weeks of Twitter discourse about climate change. We find that deniers of climate change (Disbelievers) are more hostile towards people who believe (Believers) in the anthropogenic cause of climate change than vice versa. Moreover, Disbelievers use more words and hashtags related to natural disasters during more hostile weeks as compared to Believers. These findings bear implications for studying affective polarization in online discourse, especially concerning the subject of climate change. Lastly, we discuss our findings in the context of increasingly important climate change communication research.
