Context: I teach at Princeton and study social media and recommendation systems. From a very quick skim of the repositories, this appears to be quite limited transparency. The documentation gives a decent high-level overview of how Tweet recommendation works—no surprises—and the code tracks that roadmap. Those are meaningful positive steps. But the underlying policies and models are almost entirely missing (there are…
[flagged]
Twitter's Recommendation Algorithm
341–350 of 1001 posts
Re: Twitter's Recommendation Algorithm
#342I wonder what the "author_is_elon", "author_is_power_user", "author_is_democrat", and "author_is_republican" labels are for [1]. [1]: https://github.com/twitter/the-algorithm/blob/main/home-mixe...
Re: Twitter's Recommendation Algorithm
#343Re: Twitter's Recommendation Algorithm
#344It's reassuring to know that billion dollar tech companies write CI exactly like I do: https://github.com/twitter/the-algorithm/blob/main/ci/ci.sh Permalink: https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
Same mortals as us
Re: Twitter's Recommendation Algorithm
#345Earlier quoted context omitted.
That would be great (unweighting bluechecks) but they actually plan to go in the other direction: Starting April 15th non-bluechecks won't show up in the "For you" section (the algorithm timeline) at all. Unpaid users are being written completely out of the algo. https://twitter.com/elonmusk/status/1640502698549075972
I believe LeBron James said recently he isn't going to waste his money on a blue checkmark, so it should be interesting to see what stays and what goes.
Re: Twitter's Recommendation Algorithm
#346Re: Twitter's Recommendation Algorithm
#347Context: I teach at Princeton and study social media and recommendation systems. From a very quick skim of the repositories, this appears to be quite limited transparency. The documentation gives a decent high-level overview of how Tweet recommendation works—no surprises—and the code tracks that roadmap. Those are meaningful positive steps. But the underlying policies and models are almost entirely missing (there are…
So why did they opensource it?
Re: Twitter's Recommendation Algorithm
#348Earlier quoted context omitted.
Elon is addressing this in the Twitter Space right now. "It definitely shouldn't be dividing people into Republican and Democrats; that makes no sense[...] you've identified something we should be getting rid of right away."
It's for content analytics, and I assume it's to make sure that changes to the platform can't be argued to bias one party over another.
https://blog.twitter.com/en_us/topics/company/2021/rml-polit...
Re: Twitter's Recommendation Algorithm
#349Earlier quoted context omitted.
Here is a screenshot in case this changes later: https://i.imgur.com/F8GSeyH.png And, no, this wasn't in a merge-request, it was in the "main" branch of HomeTweetTypePredicates.scala.
What's all the "DDG"? Is this data from DuckDuckGo?
Re: Twitter's Recommendation Algorithm
#350Say what you will about Elon, but this wouldn't have happened without him. Thanks! And thank you to everyone at Twitter who helped organize this release. Open sourcing something like this is no small effort.
I am not sure about that. Twitter has open sourced a lot of stuff in the past. There were certainly people there who would run the site as a nonprofit public service if they had the choice.