Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community
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Abstract (arXiv)
Humans need a sense of community (SOC), and social media platforms afford opportunities to address this need by providing users with a sense of virtual community (SOVC). This paper explores SOVC on Reddit and is motivated by two goals: (1) providing researchers with an excellent resource for methodological decisions in studies of Reddit communities; and (2) creating the foundation for a new class of research methods and community support tools that reflect users' experiences of SOVC. To ensure that methods are respectfully and ethically designed in service and accountability to impacted communities, our work takes a qualitative, community-centered approach by engaging with two key stakeholder groups. First, we interviewed 21 researchers to understand how they study "community" on Reddit. Second, we surveyed 12 subreddits to gain insight into user experiences of SOVC. Results show that some research methods can broadly reflect users' SOVC regardless of the topic or type of subreddit. However, user responses also evidenced the existence of five distinct Community Archetypes: Topical Q&A, Learning & Perspective Broadening, Social Support, Content Generation, and Affiliation with an Entity. We offer the Community Archetypes framework to support future work in designing methods that align more closely with user experiences of SOVC and to create community support tools that can meaningfully nourish the human need for SOC/SOVC in our modern world.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Oct 2023.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 3.
5 papers.
- 2025Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narrativescited by 12
- 2024Examining the Prevalence and Dynamics of AI-Generated Media in Art Subredditscited by 8
- 2026Social Simulacra in the Wild: AI Agent Communities on Moltbookcited by 4
- 2026Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Makingcited by 0
- 2026Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communitiescited by 0
- 2026Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities12 Apr 2026
- 2026Social Simulacra in the Wild: AI Agent Communities on Moltbook17 Mar 2026
- 2026Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making12 Feb 2026
- 2025Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives21 Jul 2025
- 2024Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits9 Oct 2024