Is it even what they use in production?
There is code that favor Elon's tweets so I'd yes that's probably what they use
Twitter's Recommendation Algorithm
121–130 of 1001 posts
Re: Twitter's Recommendation Algorithm
#122Great pull request here which improves the algorithm: https://github.com/twitter/the-algorithm/pull/17
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 don’t see a way out of this with the GPT/AI able to create fake persona in an instant.
Re: Twitter's Recommendation Algorithm
#123Does it show the part where is recommends Elon more than anyone else?
Perhaps that's related to this line. Though perhaps this is just used for observing metrics. https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
That whole list is a hoot,
has_toxicity_score_above_threshold
is a interesting value, I wonder were the 0.91 was though up at
Re: Twitter's Recommendation Algorithm
#124Earlier quoted context omitted.
The author_is_elon flag doesn't surprise me, but the two political designators are somewhat shocking. I'd sure like to know what changes based on what Twitter knows about your political affiliation.
The repo suggests it's about tracking engagement metrics[0], so Team Red people see more Team Red content and vice versa. Nothing nefarious. [0] https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
Why specifically track political parties? Where is author_is_american? Or author_is_mayonnaise_enjoyer?
Maybe it was a choice made many years ago that they thought was appropriate, but we can't yet know it's not used for other purposes. We can at least be reasonably sure they've added the author_is_elon within the past year. I would have thought there would be many more descriptors, or non-controversial descriptors.
Or maybe Elon specifically added those before releasing this code to get people riled up.
Re: Twitter's Recommendation Algorithm
#125Context: 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?
If we can't build anything with this, is it "source"?
Re: Twitter's Recommendation Algorithm
#126Astounding amount of cynicism here, so I'll say something positive: Transparency is undoubtly important, I'm glad we can see how all of this works and what sort of effort goes into building a social media system. It's licensed under GPL which is a bummer (would have preferred BSD) but it's better than nothing.
>Astounding amount of cynicism here
You can tell that those who rushed in to find something to criticize can't, when they are reduced to making jokes about coding stylistic conventions.
Re: Twitter's Recommendation Algorithm
#127Great pull request here which improves the algorithm: https://github.com/twitter/the-algorithm/pull/17
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
Inaccurate. Musk stated that people you follow will continue to show up. I only use the 'for you' feed when I'm bored and want stupid dopamine hits, I leave it on Following almost all the time. But that's on desktop, my understanding it that it keeps resetting itself for mobile users (of whom I am not one).
Re: Twitter's Recommendation Algorithm
#128Say 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.
Judging by the many "issues" already, it might have been a bad idea to release on a friday, though.
Re: Twitter's Recommendation Algorithm
#129Say 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'd be nothing without Twitter. It's had more impact on my life than any other platform. I got lucky, but luck was only part of it.
Being able to DM people is incredible. It's the AOL Messenger of 2023. If it went offline, it'd be a terrible loss.
Re: Twitter's Recommendation Algorithm
#130I 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...
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