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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 more strange quirks:

https://twitter.com/Ben_Cary_/status/1641893540614623258

    > Twitter use to rank posts higher for  those who had more followers/less people they follow

    > They are removing that as of today but kinda interesting that someone with 10k/10k followers would get less reach than if they had 10k followers and only followed 6k


Might be a language barrier from my side but it doesn't really sound like a "strange quirk" but rather a wise decision. Following people to get followers is one of the oldest spam methods on social media. It's not surprising that they would reduce the reach of accounts using those methods.


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.


I stopped posting because I realised I might get caught in some spam filter, but I think I'll now look some more, there are so many random tidbits you can find in a company's code, it really reflects a company's culture and journey sometimes.


https://twitter.com/_johnforte/status/1641900138305134594

    > Twitter is also using the page rank algo that google created. Basically, if a lot of people interact with the user they create more authority in the system.


https://twitter.com/federicolois/status/1641900547555901441

    > Interesting piece here. If you are following less than 500 and  you are verified your reputation is 100.


https://twitter.com/carlcarrie/status/1641900542573133826

    > The Twitter Algo uses graph of followers and tweet similarity to identify what alignment you are politically


> > Twitter is also using the page rank algo that google created

Nitpick, but the PageRank algorithm was created before Google, because it was the foundation of it.


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/status/1642004729390858241

    > 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
    > - Report



https://twitter.com/Sandeeparuchuri/status/16419015979860172...

    > Part of twitter's algo Jack Dorsey, Katy Perry, Stephen Curry and Barack Obama as “testing accounts” for getting random Tweets for testing




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