Effects of Support-Seekers' Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health Communities
Zhenhui Peng, Xiaojuan Ma, Diyi Yang, Ka Wing Tsang, Qingyu Guo
Abstract
Online mental health communities (OMHCs) are prominent resources for improving people’s mental wellbeing. An immediate cue of such improvement is support-seekers’ satisfaction expressed in their replies to the received comments. However, the comments that seekers find satisfying may change with their community knowledge, e.g., measured by tenure and posting experience in that community. In this paper, we first model the amount of satisfaction conveyed in the support-seekers’ replies to the received comments. Then we quantitatively examine how seekers’ expressed satisfaction is affected by their community knowledge, sought and received support in an OMHC. Results show that support-seekers with more posting experience generally display less contentment to the received comments. Compared to newcomers, higher tenured members express less satisfaction when receiving informational support. We also found that support matching positively predicts seekers’ satisfaction regardless of their community knowledge. Our findings have implications for OMHCs to satisfy support-seekers through their community knowledge.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get a18f8f88-106a-450f-aaac-a808e1adfa51Cited by top-tier papers9
- ComPeer: A Generative Conversational Agent for Proactive Peer SupportTianjian Liu, Hongzheng Zhao, Yuheng Liu, Xingbo Wang et al.UIST 2024 · 27 citations
- Supporters First: Understanding Online Social Support on Mental Health from a Supporter PerspectiveMeeyun Kim, Koustuv Saha, Munmun De Choudhury, Daejin ChoiCSCW 2023 · 24 citations
- DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual DesignZhenhui Peng, Qiaoyi Chen, Zhiyu Shen, Xiaojuan Ma et al.CSCW 2024 · 12 citations
- What Makes Creators Engage with Online Critiques? Understanding the Role of Artifacts' Creation Stage, Characteristics of Community Comments, and their InteractionsQingyu Guo, Chao Zhang, Hanfang Lyu, Zhenhui Peng et al.CHI 2023 · 10 citations
- MentalImager: Exploring Generative Images for Assisting Support-Seekers' Self-Disclosure in Online Mental Health CommunitiesHan Zhang, Jiaqi Zhang, Yuxiang Zhou, Ryan Louie et al.CSCW 2025 · 4 citations
Related papers
- Matching for Peer Support: Exploring Algorithmic Matching for Online Mental Health CommunitiesAnna Fang, Haiyi ZhuCSCW 2022 · 20 citations
- ComViewer: An Interactive Visual Tool to Help Viewers Seek Social Support in Online Mental Health CommunitiesShiwei Wu, Mingxiang Wang, Chuhan Shi, Zhenhui PengCSCW 2025 · 2 citations
- Join, Stay or Go?: A Closer Look at Members' Life Cycles in Online Health CommunitiesZheng Yao, Diyi Yang, John M. Levine, Carissa A. Low et al.CSCW 2021 · 15 citations
- Anonymity in Online Recovery: Measuring the Effects of Verbal-Person Centeredness and Identity Disclosures in Recovery SupportMatthew Zent, Kathleen Shea, Lana YaroshCSCW 2025 · 2 citations
- What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-BeingWenjie Yang, Anna Fang, Raj Sanjay Shah, Yash Mathur et al.CSCW 2024 · 10 citations
