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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?
"Today, the For You timeline consists of 50% In-Network Tweets and 50% Out-of-Network Tweets on average, though this may vary from user to user." I have spent significant effort creating a network and there you go choosing to ignore my efforts by putting in 50% of crap-I-don't-want-to-see. That is why I despise your algorithm.
I'm confused, then why not just use your 'followed' feed instead of 'for you'?
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Engineers who work at twitter can easily find another job in the US.
Can they? I don't know, but I imagine that at this point, everyone still working for Twitter is there because they don't have any other realistic option.
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We should really all just bow in awe as we are clearly inferior.
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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LeBron doesn’t get $84 of value from Twitter? Definitely not a political statement going on there.
Parent didn’t say it’s not “political”. It’s reasonable for a wealthy person to feel that a system that discriminates against the poor is not a system they want to participate in. (Note that I use discriminate in the literal sense, as a simple statement of fact.)
Also, how did you get a blue check before being able to buy one?
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Still smells to high heaven to me. Not the Elon part, I don't really care about that. But collecting metrics about "republican" vs "democrat" sounds like a particularly bad set of priorities at work.
Anyone that has worked in social network recommendations ( raises hand ) knows that they'll be accused of being politically biased, particularly if the recommendations aren't explicitly promoting biased news sites on the Right. (e.g. The Associated Press[0] is leftist propaganda! Where's unbiased news like Gateway Pundit[1] or InfoWars[5]?!) So data scientists and engineers will get pulled in to investigate the lates…
https://blog.twitter.com/en_us/topics/company/2021/rml-polit...
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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.
> The Twitter Algo uses graph of followers and tweet similarity to identify what alignment you are politicallyEarlier quoted context omitted.
\* \* These author ID lists are used purely for metrics collection. We track how often we are \* serving Tweets from these authors and how often their tweets are being impressed by users. \* This helps us validate in our A/B experimentation platform that we do not ship changes \* that negatively impacts one group over others. \* From: https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
Still smells to high heaven to me. Not the Elon part, I don't really care about that. But collecting metrics about "republican" vs "democrat" sounds like a particularly bad set of priorities at work.
They wanted to answer the questions of "is twitter biased against Republicans" so they measured it, turns out they favored republicans.