821–830 of 1001 posts
I 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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good point! "interesting insight" might have been a better phrase. i am just skimming twitter to get some scoops on the algo release
And I appreciate it. I'm looking forward to people analysing all of it so we eventually can get an in-depth lecture on both the techniques and their decisions.
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I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing.
The vast majority of self-proclaimed independents vote with one party just as reliably as registered members.
Great! But nothing is going to change until people realize that the problem is the feedback loop . It's not the recommendation engine itself, it's the fact that there's no way "out" of the feed that the engine produces. It recommends you stuff, you have little choice but to engage with it, and then it trains on that information . This is the problem with most of social media today. It is a very well known problem in…
reminds me of a story about a guy who was given a gift, a decorative plate with a rooster on it i think it was. didn’t care for it too much, but out of politeness put it on display on an empty cabinet he had. a while later someone noticed he had it and figured he liked it, so got him a similar decorative plate with a rooster on it. again, out of politeness, he put it next to the old one. now other people started to t…
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…
And neither can spammers find and test the cracks and edge cases that would allow them to break the system, that does sound reasonable to me. If they were public there would be an arms race between spammers/those wishing to game the system and Twitter engineers.
> The pipeline above runs approximately 5 billion times per day and completes in under 1.5 seconds on average. A single pipeline execution requires 220 seconds of CPU time, nearly 150x the latency you perceive on the app.
https://twitter.com/jarokrolewski/status/1641892148084629504 > the main neural network part of @Twitter recsys algo is based on 2021 work of #SinaWeibo - Chinese clone of Twitter interesting claim
https://twitter.com/modern_mindset/status/164207843202770534...
> Twitter algo is finally opensource.
> • Twitter Blue 2x boosts
> • Likes have 30x comment value
> • Links/mentions/names deboosts
> • Retweets have 20x comment value
> • Restrictions/suspensions deboost
> • Images/videos/trending topics 2x boost
> Will write a thread about it later. GM
> Twitter algo 101
> Boosts
> - Likes 30x
> - Retweets 20x
> - Twitter Blue 2-4x
> - Trusted circle 3x
> - Images/videos 2x
> - Replies 1x
> Negatives
> - URL only
> - No text
> - Mute
> - Block
> - Unfollow
> - ReportEarlier 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...
https://twitter.com/jarokrolewski/status/1641892148084629504 > the main neural network part of @Twitter recsys algo is based on 2021 work of #SinaWeibo - Chinese clone of Twitter interesting claim
Some summaries I found online: https://twitter.com/modern_mindset/status/164207843202770534... > Twitter algo is finally opensource. > • Twitter Blue 2x boosts > • Likes have 30x comment value > • Links/mentions/names deboosts > • Retweets have 20x comment value > • Restrictions/suspensions deboost > • Images/videos/trending topics 2x boost > Will write a thread about it later. GM https://twitter.com/petergyang/statu…
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Judging by the many "issues" already, it might have been a bad idea to release on a friday, though.
I'm not connecting the dots. Why is it bad to release on Friday?