Governing Together: Toward Infrastructure for Community-Run Social Media
Sohyeon Hwang, Sophie Rollins, Thatiany Andrade Nunes, Yuhan Liu, Richmond Wong, Aaron Shaw, Andrés Monroy-Hernández
TL;DR
The paper argues for inter-community governance as a necessary layer in social computing, using the Fediverse to explore how multiple communities can coordinate governance without centralized control. It employs four design workshops with 24 organizers and developers, analyzed via thematic analysis to identify six governance-friction challenges and three guiding principles: modularity, forkability, and polycentricity. The authors propose an ecosystem of tools and infrastructures, including Governance Nutrition Facts, trust bubbles, and Issue Bulletins, to support cross-community coordination while preserving autonomy. They also discuss adoption barriers, labor considerations, and the risk of re-centralization, offering a roadmap for building scalable inter-community governance across diverse systems.
Abstract
Decentralizing the governance of social computing systems to communities promises to empower them to make independent decisions, with nuance and in accordance with their values. Yet, communities do not govern in isolation. Many problems communities face are common, or move across their boundaries. We therefore propose designing for "inter-community governance:" mechanisms that support relationships and interactions between communities to coordinate on governance issues. Drawing from workshops with 24 individuals on decentralized, community-run social media, we present six challenges in designing for inter-community governance surfaced through ideas proposed in workshops. Together, these ideas come together as an ecosystem of resources, infrastructures, and tools that highlight three key principles for designing for inter-community governance: modularity, forkability, and polycentricity. We end with a discussion of how the ideas proposed in workshops might be implemented in future work aiming to support community governance in social computing systems broadly.
