Emotionally Aware Moderation: The Potential of Emotion Monitoring in Shaping Healthier Social Media Conversations
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Abstract (arXiv)
Social media platforms increasingly employ proactive moderation techniques, such as detecting and curbing toxic and uncivil comments, to prevent the spread of harmful content. Despite these efforts, such approaches are often criticized for creating a climate of censorship and failing to address the underlying causes of uncivil behavior. Our work makes both theoretical and practical contributions by proposing and evaluating two types of emotion monitoring dashboards to users' emotional awareness and mitigate hate speech. In a study involving 211 participants, we evaluate the effects of the two mechanisms on user commenting behavior and emotional experiences. The results reveal that these interventions effectively increase users' awareness of their emotional states and reduce hate speech. However, our findings also indicate potential unintended effects, including increased expression of negative emotions (Angry, Fear, and Sad) when discussing sensitive issues. These insights provide a basis for further research on integrating proactive emotion regulation tools into social media platforms to foster healthier digital interactions.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 93 references that are in the map. First posted on arXiv 24 Jun 2025.
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References · 14
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2020TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classificationcited by 417
- 2020HateBERT: Retraining BERT for Abusive Language Detection in Englishcited by 207
- 2022"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interactioncited by 63
- 2018Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Mediacited by 59
- 2023A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspectivecited by 33
- 2021Defining and Detecting Toxicity on Social Media: Context and Knowledge are Keycited by 29
- 2022Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Supportcited by 15
- 2017Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformationcited by 12
- 2022Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussionscited by 11
- 2023Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markerscited by 11
- 2022Designing for emotion regulation interventions: an agenda for HCI theory and researchcited by 8
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- 2025Before the Outrage: Challenges and Advances in Predicting Online Antisocial Behavior
- 2021"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter
- 2025"Ignorance is Not Bliss": Designing Personalized Moderation to Address Ableist Hate on Social Media
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