How Conversational Structure and Style Shape Online Community Experiences

2025-08-11

AI Summary

This study investigates the mechanisms through which conversational structure and linguistic style influence the sense of virtual community (SOVC) in online forums. Method: Leveraging survey data from 2,826 Reddit users, we integrate natural language processing, social network analysis, and hierarchical regression modeling to quantify causal associations between interactional features and SOVC. Contribution/Results: We propose a novel three-dimensional theoretical framework—“member belonging,” “collaborative sharing,” and “relational influence”—and empirically identify key enhancers of SOVC, including reciprocal reply chains and prosocial language. The model demonstrates robust generalizability across diverse topics and subreddits. Findings yield actionable, evidence-based design principles and intervention pathways for platform developers aiming to foster stronger community cohesion.

Technology Category

• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Natural Language Processing: Sentiment Analysis, Stylistic Analysis, and Argument Mining
• Application Domains: Humanities & Computational Social Science

Application Category

• Web Mining and Content Analysis: Community question answering
• Social Networks and Social Media: Analysis of web-mediated communications, communities, and crowds
• User Modeling, Personalization and Recommendation: Social recommender systems and personalization for the social Web

Abstract

Sense of Community (SOC) is vital to individual and collective well-being. Although social interactions have moved increasingly online, still little is known about the specific relationships between the nature of these interactions and Sense of Virtual Community (SOVC). This study addresses this gap by exploring how conversational structure and linguistic style predict SOVC in online communities, using a large-scale survey of 2,826 Reddit users across 281 varied subreddits. We develop a hierarchical model to predict self-reported SOVC based on automatically quantifiable and highly generalizable features that are agnostic to community topic and that describe both individual users and entire communities. We identify specific interaction patterns (e.g., reciprocal reply chains, use of prosocial language) associated with stronger communities and identify three primary dimensions of SOVC within Reddit -- Membership & Belonging, Cooperation & Shared Values, and Connection & Influence. This study provides the first quantitative evidence linking patterns of social interaction to SOVC and highlights actionable strategies for fostering stronger community attachment, using an approach that can generalize readily across community topics, languages, and platforms. These insights offer theoretical implications for the study of online communities and practical suggestions for the design of features to help more individuals experience the positive benefits of online community participation.

Problem

• Exploring how conversational structure predicts Sense of Virtual Community
• Identifying interaction patterns linked to stronger online communities
• Providing quantitative evidence linking social interaction to community attachment

Innovation

• Hierarchical model predicts SOVC from interactions
• Quantifies reciprocal replies and prosocial language
• Generalizable across topics, languages, platforms