通过延迟发布和情绪识别，减少网络争吵中的毒性和愤怒传播。
Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse
- 用图模型实时识别对话中需调节情绪的节点。
- 延迟评论发布使毒性降低12%，愤怒传播减少15%。
- 适合平台方部署，提升在线交流的文明程度。
网络暴力（如仇恨言论、恶意挑衅）广泛存在，破坏数字互动与在线福祉。以往研究多关注事后内容审核，忽视了对话中实时的情绪动态及其对他人影响。本文提出一种基于图的框架，用于识别在线对话中需要情绪调节的时刻，并促进用户自我反思以实现负责任的行为。此外，引入评论排队机制，对故意煽动情绪的用户施加发布延迟，给予其冷静时间，维护对话情绪平衡。对推特和Reddit数据的分析显示，该图框架使毒性下降12%，排队机制使愤怒传播减少15%，平均仅有4%的评论被临时搁置。结果表明，结合实时情绪调节与延迟审核，能显著改善线上环境的健康度。
原文摘要 · Abstract (English)
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.
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