🤖 AI Summary
This study addresses the underexamined core question: “How do rules in online communities emerge and evolve?” Drawing on grounded-theory interviews with 40 community leaders from Reddit, Fandom, and the Fediverse, it reveals, for the first time, the *relational genesis* of rules—demonstrating that rules serve not only behavioral regulation but also relational functions such as legitimacy construction and identity reinforcement. The study identifies seven distinct rule-adoption processes, bridging explanatory gaps among institutional theory, ecological perspectives, and functionalism. It further pinpoints three key drivers of rule evolution: volunteer workload, member feedback mechanisms, and leader–member relational dynamics. Based on these findings, the paper proposes a set of community governance design principles that jointly accommodate functional efficacy and relational integrity.
📝 Abstract
Where do rules come from in online communities? While prior studies of online community governance in social computing have sought to characterize rules by their functions within communities and documented practices of rule enforcement, they have largely overlooked rule adoption and change. This study investigates how and why online communities adopt and change their rules. We conducted a grounded theory-based analysis of 40 in-depth interviews with community leaders from subreddits, Fandom wikis, and Fediverse servers, and identified seven processes involved in the adoption of online community rules. Our findings reveal that, beyond regulating behavior and solving functional intra-community problems, rules are also adopted and changed for relational reasons, such as signaling or reinforcing community legitimacy and identity to other communities. While rule change was often prompted by challenges during community growth or decline, change also depended on volunteer leaders' work capacity, the presence of member feedback mechanisms, and relational dynamics between leaders and members. The findings extend prior theories from social computing and organizational research, illustrating how institutionalist and ecological explanations of the relational origins of rules complement more functional accounts. The results also support design recommendations that integrate the relational aspects of rules and rulemaking to facilitate successful governance across communities' lifecycles.