Problem
Research questions and friction points this paper is trying to address.
Online Knowledge Communities
Generative AI
Sustainability
Collective Problem Solving
Socio-technical Systems
The Decline of Online Knowledge Communities: Obstacles, Workarounds, and Sustainability
🤖 AI Summary
The rise of generative artificial intelligence poses a systemic challenge to online knowledge communities, triggering user attrition and declining contributions. This study investigates shifts in user behaviors and attitudes under the influence of AI through a mixed-methods approach, combining 217 survey responses with 11 in-depth interviews. Findings reveal that although users increasingly rely on AI for quick answers, they still gravitate toward community platforms for complex, ambiguous, or trust-sensitive inquiries. The paper argues that generative AI does not inevitably precipitate community decline; rather, it presents a design opportunity to reconfigure human-AI collaboration. Crucially, the resilience of online knowledge communities hinges on reinforcing sociality, empathy, and reciprocity as core interactional principles.
📝 Abstract
Online knowledge communities (OKC) such as Stack Exchange, Reddit, and Zhihu have long functioned as socio technical infrastructures for collective problem solving. The rapid adoption of Generative AI (GenAI) introduces both complementarity and substitution. Large language models (LLMs) offer faster, more accessible drafts, yet divert traffic and contributions away from OKC that also provided their training data. To understand how communities adapt under this systemic shock, we report a mixed-methods study combining an online survey (N=217) and interviews with 11 current users. Findings show that while users increasingly rely on AI for convenience, they still turn to OKC for complex, ambiguous, or trust sensitive questions. Participants express polarized attitudes toward AI, reflecting divergent hopes and uncertainties about its role. Yet across perspectives, sustaining sociability, empathy, and reciprocity emerges as essential for community resilience. We argue that GenAI's impact constitutes not a terminal decline but a design challenge: to reimagine socio-technical complementarities that balance automation's efficiency with human judgment, trust, and collective stewardship in the evolving knowledge commons. To decline or sustain, it is now or never to take action.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Generative AI
online knowledge communities
socio-technical design
community resilience
human-AI complementarity
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