Access the PDF version of this essay by clicking the icon to the right.
Twitter's For You Recommendation Algorithm
Twitter has open-sourced a majority of its recommendation algorithm. It offers an exciting opportunity for researchers, industry practitioners, and RecSys enthusiasts to take a close look at how Twitter computes the recommended feed for the For You page. This article described Twitter’s end-to-end recommender system along with relevant literature and code references.
What’s in an Algorithm? Empowering Users Through Nutrition Labels for Social Media Recommender Systems
(For a PDF version of this essay click on the button in the right-hand column.)
Deep Dive: Inside X (fka Twitter)’s Recommendation Algorithm
Decoding the Machine That Powers Your “For You” Timeline ,When Elon Musk open-sourced Twitter’s recommendation algorithm in March 2023, it…
Social Media Feed Ranking Algorithms: Guide to Field Experiments
IC2S2'26 Tutorial | Social Media Feed Ranking Algorithms: Guide to Field Experiments
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.
The Algorithmic Management of Polarization and Violence on Social Media
Access the PDF version of this essay by clicking the icon to the right.
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.
How Platform Recommenders Work – Center for Human-Compatible Artificial Intelligence
A recommender system (or simply ‘recommender’) is an algorithm that takes a large set of items and determines which of those to display to a user—think the Facebook News Feed, the Twitter timeline, Google News, or the YouTube homepage. Recommenders are necessary tools to help navigate the sheer volume of content produced each day, but their scale and rapid development can cause unintended consequences. Facebook’s algorithms have been blamed for radicalizing users, TikTok’s for inundating teens with eating-disorder videos, and Twitter’s for political bias.
Note for the file New social media platform diversification of our presence redacted document 5.pdf
This is an HTML version of an attachment to the Freedom of Information request 'Decision to join W social network'.
SimClusters - X Recommendation Algorithm
Community-based embeddings for users, tweets, and content recommendation
Welcome to the GreenEarth Feeds
Social media algorithms built for people who hate social media algorithms
From Feeds to Trails
To design the future of social media, rethink the interface before the algorithm.
Introducing GreenEarth
We're building advanced open source algorithms for social media
Wonderful talk by @sjgreenwood.bsky.social about @paper-feed.bsky.social! Custom feeds on Bluesky are unique resources for researchers interested in recommendation algorithms #IC2S2 Featuring many Bluesky friends like @graze.social @devingaffney.com @kissane.myatproto.social @aendra.com
Social media algorithms don't allow us to understand or control what we see online and why... until now! Top scholars @jonathanstray.com and @noupside.bsky.social are sharing @mysky.social, a tool that allows users to adjust their feed’s priorities and explains why certain posts appear over others.
🎛️📲 Meet the algorithm you can actually control and understand
newpublic.substack.comHmmm, I was expecting semble.so to be something different I think I was expecting the to see a social backlink aggregator and exploration tool, but right now it seems more like social bookmarks
