The Effect of Moderation on Online Mental Health Conversations
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Abstract (arXiv)
Many people struggling with mental health issues are unable to access adequate care due to high costs and a shortage of mental health professionals, leading to a global mental health crisis. Online mental health communities can help mitigate this crisis by offering a scalable, easily accessible alternative to in-person sessions with therapists or support groups. However, people seeking emotional or psychological support online may be especially vulnerable to the kinds of antisocial behavior that sometimes occur in online discussions. Moderation can improve online discourse quality, but we lack an understanding of its effects on online mental health conversations. In this work, we leveraged a natural experiment, occurring across 200,000 messages from 7,000 online mental health conversations, to evaluate the effects of moderation on online mental health discussions. We found that participation in group mental health discussions led to improvements in psychological perspective, and that these improvements were larger in moderated conversations. The presence of a moderator increased user engagement, encouraged users to discuss negative emotions more candidly, and dramatically reduced bad behavior among chat participants. Moderation also encouraged stronger linguistic coordination, which is indicative of trust building. In addition, moderators who remained active in conversations were especially successful in keeping conversations on topic. Our findings suggest that moderation can serve as a valuable tool to improve the efficacy and safety of online mental health conversations. Based on these findings, we discuss implications and trade-offs involved in designing effective online spaces for mental health support.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 May 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 3; 2025: 2; 2026: 3.
12 papers.
- 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interactioncited by 77
- 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approachcited by 75
- 2023Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuringcited by 53
- 2022Identifying Moments of Change from Longitudinal User Textcited by 17
- 2024IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interactioncited by 12
- 2024Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysiscited by 7
- 2026PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Supportcited by 7
- 2025Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spacescited by 5
- 2024WHoW: A Cross-domain Approach for Analysing Conversation Moderationcited by 3
- 2026LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedbackcited by 2
- 2025Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Redditcited by 1
- 2026PeerPen: AI-Assisted Writing for Online Mental Health Peer Supportcited by 0
- 2026PeerPen: AI-Assisted Writing for Online Mental Health Peer Support14 Sep 2026
- 2026LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback28 May 2026
- 2026PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support19 Jan 2026
- 2025Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces17 Apr 2025
- 2025Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit10 Apr 2025
- 2024WHoW: A Cross-domain Approach for Analysing Conversation Moderation21 Oct 2024
- 2024Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis25 Feb 2024
- 2024IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction19 Feb 2024
- 2023Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring24 Oct 2023
- 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction4 May 2023
- 2022Identifying Moments of Change from Longitudinal User Text11 May 2022
- 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach19 Jan 2021