Collective Social | Track what you love. Share what matters.

[Draft] Follow anyone — Open Indie

I just wanna keep track of people I care for and find interesting. The type of feed(s) available for subscription (blog, micro-blog, chat...

blogs.social — Discover the open web

Discover and follow blogs across Bluesky, Mastodon, RSS, and the open social web.

Paper Notes - WTF - The Who to Follow Service at Twitter

Explore Twitter's recommendation system - in-memory graph processing with Cassovary, random walks, and SALSA for user suggestions.

2002: Last.fm and Audioscrobbler Herald the Social Web

Following in Amazon's footsteps, two student projects independently use 'collaborative filtering' to bring recommendations and social networking to online music; soon they will join forces.

A New Social

Our mission is to liberate people's networks from their platforms, enabling The Last Network Effect and leveling the playing field across the open social web.

A New Social

Our mission is to liberate people's networks from their platforms, enabling The Last Network Effect and leveling the playing field across the open social web.

For You by @spacecowboy17.bsky.social

A personalized algorithmic feed based on your likes. It finds people who liked the same posts as you, and shows you what else they've liked recently. https://foryou.club

FediForum | Growing the Open Social Web:<br>An Online Un-Workshop

Since the Twitter takeover by Elon Musk over three years ago, the Open Social Web has been adopted by an enthusiastic community. People world-wide are building and using open social platforms and open social protocols to better interact with others online.

The Atmosphere . Building the open social web

Building A Prosocial Media Ecosystem | NOEMA

There’s never been a better time to make social media what it always should have been: a tool to strengthen rather than strip-mine the social fabric.

BridgEU: new project to study how recommendation systems can reduce polarization | SynoSys

A new collaborative project with Philipp Lorenz-Spreen, Eurosky, and SPRIND explores whether social media recommendation algorithms can strengthen public discourse instead of reinforcing divisions.