There is a need for better moderation systems on the fediverse. But getting people to coordinate to build and adopt such systems is proving to be a challenge.
AT Moderation Architecture | bryan newbold (⛱️ sabbatical mode)
The AT network is becoming more heterogeneous in practice, with independent PDS hosts, apps, and alternative bsky AppViews establishing themselves. This means that more complex inter-service moderation scenarios are starting to get attention. While the labeling system was released all the way back i...
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FR#168 – LLMs Join The Fediverse
How to build a fediverse community when bots are indistinguishable from humans on applications to join?
Findings Report: Governance on Fediverse Microblogging Servers
Research report on Fediverse microblogging server governance: risks and mitigations, moderation, server leadership, federated diplomacy, and governance tooling.
Update #1: Getting started and keeping momentum - Decentralizing FedCM
At the start of March this year I started working on ensuring FedCM supported decentralized ecosystems, such as AT Protocol, funded by a grant from Bluesky S…
Why Online Democracies Fail - Eclectic Corvine Muses
A compendium to my upcoming proposal for community infrastructure within the AT Protocol
Composable Trust, Part 1: Communities Without Credible Exit - Eclectic Corvine Muses
We guarantee that users aren’t subject to platforms. Yet communities are still subject to their stewards. Can we fix this?
Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance
Divisiveness appears to be increasing in much of the world, leading to concern about political violence and a decreasing capacity to collaboratively address large-scale societal challenges. In this working paper we aim to articulate an interdisciplinary research and practice area focused on what we call bridging systems: systems which increase mutual understanding and trust across divides, creating space for productive conflict, deliberation, or cooperation. We give examples of bridging systems across three domains: recommender systems on social media, collective response systems, and human-facilitated group deliberation. We argue that these examples can be more meaningfully understood as processes for attention-allocation (as opposed to "content distribution" or "amplification") and develop a corresponding framework to explore similarities - and opportunities for bridging - across these seemingly disparate domains. We focus particularly on the potential of bridging-based ranking to bring the benefits of offline bridging into spaces which are already governed by algorithms. Throughout, we suggest research directions that could improve our capacity to incorporate bridging into a world increasingly mediated by algorithms and artificial intelligence.
Are We Decentralized Yet?
Statistics on how concentrated user accounts and data are across the Fediverse, the Atmosphere, web hosting, email, and other Internet infrastructure.
Gathering the Custodians of the Internet: Lessons from the First CivilServant Summit - Citizens and Technology Lab
An agenda for citizen behavioral science to maintain and protect the communities we love online.
Beginning Phase 2 of Northsky
Phase One: PDS + Migration is now on auto-pilot, so we’re moving onto exciting new endeavors for Phase Two, including our own App, Moderation Labeler, Private Data and more!
Governing Online Speech: From 'Posts-As-Trumps' to Proportionality and Probability
Online speech governance stands at an inflexion point. Platforms are emerging from the state of emergency invoked during the pandemic and lawmakers are poised t
The Internet Transition
The Internet is allowing us to build a richer, more complex society but the way in which we Internet today is failing to support the governance systems that a more complex world requires. I take a look at why these issues are related, try to develop an intuition for a way forward, and point at the emerging field that is coming together to build that future.
Mastodon creator shares what went wrong with Threads and ponders the future of the fediverse
In a wide-ranging interview with Eugen Rochko, creator of the decentralized social network Mastodon, Rochko shared why Threads federation fell flat, why ActivityPub and ATProto will likely never merge, and what it will take to grow the fediverse.
Community by Design
Social media empower distributed content creation by algorithmically harnessing "the social fabric" (explicit and implicit signals of association) to serve this content. While this overcomes the bottlenecks and biases of traditional gatekeepers, many believe it has unsustainably eroded the very social fabric it depends on by maximizing engagement for advertising revenue. This paper participates in open and ongoing considerations to translate social and political values and conventions, specifically social cohesion, into platform design. We propose an alternative platform model that includes the social fabric an explicit output as well as input. Citizens are members of communities defined by explicit affiliation or clusters of shared attitudes. Both have internal divisions, as citizens are members of intersecting communities, which are themselves internally diverse. Each is understood to value content that bridge (viz. achieve consensus across) and balance (viz. represent fairly) this internal diversity, consistent with the principles of the Hutchins Commission (1947). Content is labeled with social provenance, indicating for which community or citizen it is bridging or balancing. Subscription payments allow citizens and communities to increase the algorithmic weight on the content they value in the content serving algorithm. Advertisers may, with consent of citizen or community counterparties, target them in exchange for payment or increase in that party's algorithmic weight. Underserved and emerging communities and citizens are optimally subsidized/supported to develop into paying participants. Content creators and communities that curate content are rewarded for their contributions with algorithmic weight and/or revenue. We discuss applications to productivity (e.g. LinkedIn), political (e.g. X), and cultural (e.g. TikTok) platforms.