What happens after the social media feed? A presentation on the future of conversation, community, and social connection, and how AI will affect the everyday lives of billions.
After the feed with Eli Pariser, Ben Smith, and Jasmine Sun
After the Feed: Trust, connection, and the next era of social technology | New_ Public | May 2026
After the Feed: Trust, connection, and the next era of social technology By Eli Pariser, Co-Director, Angelica Quicksey, Managing Director, Arnobio Morelix, AI Fellow May 2026 Newpublic.org
From Feeds to Trails
To design the future of social media, rethink the interface before the algorithm.
Notable links: August 14, 2026
Chicago Public Media is building a social network for America's third largest city. Forget AI - this is the thing I'm most excited about in news technology.
Social media algorithms can be redesigned to bridge divides — here’s how
"It falls to both the tech companies that built these systems and an engaged public to create technologies designed for social cohesion."
Millions of Volunteers Are Keeping the Internet Human. For Now.
We’re never going back to the human internet we had. But we can hope for a better internet than the AI-dominated one that is emerging, writes Sarah Gilbert.
✨🙌 AI that helps communities thrive on their own terms
Open protocols + AI-enabled coding = building what we need for ourselves
Something Big Is Happening
A personal note for non-tech friends and family on what AI is starting to change.
The future of social media is human
We cannot continue participating in social media platforms which do nothing to stop us being tricked by GenAI and the powerful people/governments that control them.
Ratioed — dame.is
I began this social art experiment in June 2025 and have “performed” it periodically since. My intent was to explore what it would look like to use a social media post as a medium for art (not for sharing art). Because I used Bluesky, the social data underlying this art projec…
Field Theory: AI as Social Science Question, Object & Tool
Uses of advanced artificial intelligence are changing how societies organize labor, govern, produce knowledge, and make meaning. In light of these developments, this essay argues that AI models, tools, and systems pose three interrelated imperatives for social science: they demand renewed attention to social theories of how technology, human experience, and social order are entangled; they require study as objects of inquiry in their own right; and they offer capabilities that may transform—or upend—the practice of social investigation itself. From Weber’s analysis of rationalization to Du Bois’s study of technology and inequality to contemporary scholarship on algorithmic governance, the essay examines what social science distinctively offers: the capacity to historicize the apparently unprecedented, to trace connections across scales, and to center those most affected by technological change. It identifies how algorithmic systems are remaking the distribution of opportunity and risk as a central task of social inquiry and asks what futures social science might help bring into being.
The Local Connection Crisis: New Data on What Communities Need
Recently I’ve been thinking about a couple of... - Adam Wood
Recently I’ve been thinking about a couple of different tech-related things that sort of overlap. One is the (emerging) shape of the new social web; the other is a pull I’m feeling to try and lessen reliance on American companies. I’ve been interested in / concerned by what became of social media for some time.1 Since the sundering of Twitter in 2022, I’ve kept an eye on the various alternatives, with particular interest in Mastodon and Bluesky. Actually, to be more accurate, my interest has been in the protocols behind those platforms: ActivityPub and AT Protocol respectively. Both have their...
Don’t just Build a Second Brain: share (part of) it
I’m exploring how MyHub.ai could become a unique hybrid of personal publishing and productivity tools by launching a newsletter powered by…
How Claude marks AI-generated content | Claude Help Center
Anthropic has signed the EU AI Act's Article 50(2) Code of Practice on Transparency of AI-Generated Content, as a provider of both generative AI models and generative AI systems. This article describes how we’re planning to put those commitments into practice, how marking works, and what its limitations are. We’ll update this article and publish more detailed technical guidance as it becomes available.
