A Comparative Analysis of Peer Support in Forum-based and Chat-based Mental Health Communities: Technical-Structural-Functional Model of Social Support

2026-02-22

AI Summary

This study investigates how forum-based and chat-based technological architectures shape the types of social support and interaction dynamics within online mental health communities. Drawing on supervised machine learning and social network analysis of 40 communities, the research extends the structural-functional support model by proposing an integrated “technology–structure–function” framework. It demonstrates that platform architecture influences the distribution of supportive behaviors by shaping the centrality of communication networks. Findings reveal that forums are more conducive to informational and emotional support, whereas chat groups better facilitate companionship support, underscoring the need for technology design to align with users’ specific support needs. This framework provides both theoretical and empirical foundations for understanding the coupling mechanisms between platform design and social support provision in digital mental health spaces.

Technology Category

• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Application Domains: Humanities & Computational Social Science
• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community

Application Category

• Social Networks and Social Media: Socio-technical web-based systems
• Economics, Online Markets and Human Computation: Social networks and social learning
• Responsible Web: Social and technical mechanisms of refusal for web technologies and applications

Abstract

Online support communities have become vital spaces offering varied forms of support to individuals facing mental health challenges. Despite the proliferation of platforms with distinct technical structures, little is known about how these features shape support dynamics and the socio-technical mechanisms at play. This study introduces a technical-structural-functional model of social support and systematically compares communication network structures and support types in 20 forum-based and 20 chat-based mental health communities. Using supervised machine learning and social network analysis, we find that forum-based communities foster more informational and emotional support, whereas chat-based communities promote greater companionship. These patterns were partially explained by network structure: higher in-degree centralization in forums accounted for the prevalence of informational support, while decentralized reply patterns in chat groups accounted for more companionship. These findings extend the structural-functional model of support to online contexts and provide actionable guidance for designing support communities that align technical structures with users' support needs.

Problem

• online support communities
• social support
• technical structure
• mental health
• communication network

Innovation

• technical-structural-functional model
• social network analysis
• supervised machine learning
• online mental health communities
• support dynamics