ML@Reddit, Formerly Twitter Cortex, Stanford Operations Research Ph.D.
Diamond, IL
Joined February 2018
- Tweets438
- Following378
- Followers202
- Likes8.9K
Stephen Ragain retweeted
[Please RT]
I’m recruiting PhD students to work with me at @UW!
I’m looking for students passionate about developing new *social media algorithms*, both broadly and within the scope of this NSF grant: tinyurl.com/395yfphd
More info: faculty.washington.edu/msave…
@UW / @UW_iSchool
Stephen Ragain retweeted
Lots of people in CS are (almost surely) GPT-ing their peer reviews
arxiv.org/abs/2403.07183
Stephen Ragain retweeted
Community Notes don't affect post ranking (and shouldn't, in general -- they often add useful context to correct posts)
But we measured a ~25-35% drop in organic likes & RTs (& smaller drop in QTs, since QTs are sometimes dunks...) in an A/B vs. the same post w/o a note
We may be getting some of the best of both worlds: an organic reduction in spread when users voluntarily decide to share misleading content less after being more informed, without censorship.
Stephen Ragain retweeted
[Please RT]
I’m recruiting PhD students to work with me at @UW!
I’m looking for students passionate about using computational methods to study how social platforms can be reimagined to enable better conversations, bridge political divides, and reduce the spread of misinfo.
>>>
Stephen Ragain retweeted
📢 "Rank-heterogeneous Preference Models for School Choice" by @AwadelkarimAmel, @arjunsesh, Itai Ashlagi & Irene Lo. KDD'23 Paper: arxiv.org/abs/2306.01801 Summary video: youtube.com/watch?v=UGoefFrc… Gist: choice models of ranking use the same model at all positions. Can do better! 🧵
Some of the coolest research I’ve been a part of at Twitter- birdwatch has some lofty goals (including fully open source data and algs) for user-driven misinformation detection. Thanks to my awesome coauthors and collaborators!
In the spirit of transparency, Birdwatch makes everything and the kitchen sink public and open source. Today, we’re sharing a paper that details the research, analysis and outcomes that informed its development and helped us understand its performance. 📊 github.com/twitter/birdwatch…
Stephen Ragain retweeted
🚨Birdwatch Paper Alert!🚨
I am thrilled to finally be able to share this paper with the detailed results evaluating how effective Birdwatch's bridging algorithm is!
In the spirit of transparency, Birdwatch makes everything and the kitchen sink public and open source. Today, we’re sharing a paper that details the research, analysis and outcomes that informed its development and helped us understand its performance. 📊 github.com/twitter/birdwatch…
Stephen Ragain retweeted
Work done with an amazing team of coauthors: @stefanjwojcik @loafieee @nclarkjudd @DeliaMocanu @stephen_ragain @mbfhunzaker @kcoleman with loads of help from the Birdwatch engineering team!
Stephen Ragain retweeted
In the spirit of transparency, Birdwatch makes everything and the kitchen sink public and open source. Today, we’re sharing a paper that details the research, analysis and outcomes that informed its development and helped us understand its performance. 📊 github.com/twitter/birdwatch…
Stephen Ragain retweeted
Birdwatch elevates contributions from participants whose notes and ratings are consistently found helpful by others. Today we’re rolling out some updates to help strengthen Birdwatch against manipulation and prevent potential attempts to alter contributor standing and impact.
Stephen Ragain retweeted
Simulation of a car getting smashed using gravity values for different celestial bodies:
Stephen Ragain retweeted
We’ve been hard at work building a Birdwatch that people from different points of view find helpful. We’re seeing promising results, and starting today, a test group of people in the US will see the highest rated Birdwatch notes on Tweets. blog.twitter.com/en_us/topic…
Stephen Ragain retweeted
Fast-forward 5 years: “Let’s go to Adam Schefter, who has more details about the Bears-Steelers game that was fixed by gamblers in 2021…”
