The barebones ReadMe makes me feel this repository was open-sourced against the wish of engineers and with a top down directive
How so? More details and reasoning?
Twitter's Recommendation Algorithm
351–360 of 1001 posts
Re: Twitter's Recommendation Algorithm
#352Earlier quoted context omitted.
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.
NY Times, WaPo, LA Times and other major accounts too https://www.thewrap.com/ny-times-la-times-not-pay-for-twitte...
Seems dumb of them. Cost is trivial and their competition that isn’t so politically motivated will have a much further reach.
The smart move would be silent on the policy change, pay, and support rival platforms as they can. Instead they will eventually pay and look like they lost.
Re: Twitter's Recommendation Algorithm
#353Re: Twitter's Recommendation Algorithm
#354Earlier quoted context omitted.
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.
Only because you are blinded by your own biases. There are people there that think it will be the next spacex or Tesla
Re: Twitter's Recommendation Algorithm
#355Earlier quoted context omitted.
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
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.Re: Twitter's Recommendation Algorithm
#356Earlier 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.
Or even maybe to provide some background to various bits of lingo / acronyms people use.
I’m thinking along the lines of common word’s that have vastly different meanings depending on who’s saying it.
Re: Twitter's Recommendation Algorithm
#357Re: Twitter's Recommendation Algorithm
#358Earlier 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.
So false equivalence is written into the platform. Insane opinions of one party must be displayed as often as moderate opinions of the other. It definitely works for angering everyone on Twitter, not so much for actual dialog or progress.
Re: Twitter's Recommendation Algorithm
#359Earlier quoted context omitted.
Yeah they track author_is_elon, author_is_democrat, and author_is_republican but they don't appear to be used for favoritism anywhere in this code.
Why do they exist then? No code references it, but that's Scala/JVM so many things depend on runtime initialization, so maybe some other systems do? wich ones? Is is it there to help fight impersonations? should be solved with Twitter Blue already? There was reports of people receiving notifications about Musk tweets despite not following him, so..
It's not used at run-time, it's in the repository so that the large language models that are training on the github corpus will know how special elon is, and so that the future code written for twitter by GPT-5 will take the hint and add the favoritism autonomously.
Re: Twitter's Recommendation Algorithm
#360Earlier 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?
Maybe the name for an internal service/environment. It's also referenced in this viral tweet from November:
https://twitter.com/EricFrohnhoefer/status/15919691002257367...