Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse
This addresses the problem of emotional harm and disruption in digital discourse for online users, offering a novel real-time approach beyond post-hoc moderation.
The paper tackled online toxicity by developing a graph-based framework for real-time emotion regulation and a comment queuing mechanism, reducing toxicity by 12% and anger spread by 15% with only 4% of comments temporarily held.
The pervasiveness of online toxicity, including hate speech and trolling, disrupts digital interactions and online well-being. Previous research has mainly focused on post-hoc moderation, overlooking the real-time emotional dynamics of online conversations and the impact of users' emotions on others. This paper presents a graph-based framework to identify the need for emotion regulation within online conversations. This framework promotes self-reflection to manage emotional responses and encourage responsible behaviour in real time. Additionally, a comment queuing mechanism is proposed to address intentional trolls who exploit emotions to inflame conversations. This mechanism introduces a delay in publishing comments, giving users time to self-regulate before further engaging in the conversation and helping maintain emotional balance. Analysis of social media data from Twitter and Reddit demonstrates that the graph-based framework reduced toxicity by 12%, while the comment queuing mechanism decreased the spread of anger by 15%, with only 4% of comments being temporarily held on average. These findings indicate that combining real-time emotion regulation with delayed moderation can significantly improve well-being in online environments.