🤖 AI Summary
This study addresses the absence of cross-community governance in decentralized social media by proposing the novel paradigm of “inter-community governance.” Through a participatory workshop involving 24 stakeholders—and integrating insights from social computing and decentralized governance theory—the authors distill three core design principles: modularity, forkability, and polycentricity, to underpin governance infrastructure supporting multi-community collaboration. The research identifies six fundamental design challenges and derives a corresponding suite of tools, resources, and architectural patterns, delivering an ecosystem-level solution for shared cross-community governance. Critically, this work constitutes the first systematic conceptualization and formalization of inter-community governance mechanisms, transcending the limitations of single-community self-governance. It provides both a scalable, principled design framework and empirically grounded pathways for sustainable, cooperative governance across decentralized platforms.
📝 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.