I wonder if it will be possible in one day to know what is values of `author_is_power_user`, `author_is_democrat` and `author_is_republican` for your account. Does GDPR help with that? probably not because maybe they do it for people inside the us only so it is not related to EU anyway.
Twitter's Recommendation Algorithm
311–320 of 1001 posts
Re: Twitter's Recommendation Algorithm
#312Earlier quoted context omitted.
Yeah, surely the fan-boys who remain at Twitter are interested in lowering the visibility of Elon, not the opposite.
I read that as being able to make sure they don't lower his engagement with a release
Makes you wonder how they would deal with a reduction in Twitter users.
Re: Twitter's Recommendation Algorithm
#313Re: Twitter's Recommendation Algorithm
#314Great pull request here which improves the algorithm: https://github.com/twitter/the-algorithm/pull/17
I think it's okay to give Twitter Blue users a boost, as it's most likely not spam (unlike the 95% of my non-blue followers who are bots).
I think it makes sense for out-of-network. However I see no value for boosting among people that I have followed. If I have followed them they definitely aren't spammers (from my PoV).
Re: Twitter's Recommendation Algorithm
#315Re: Twitter's Recommendation Algorithm
#316Earlier quoted context omitted.
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.
About 40% of US voters are not registered with any political party, so at least they will avoid whatever this triggers.
And then there is the rest of the world.
Re: Twitter's Recommendation Algorithm
#317Earlier 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."
Does it make sense to divide people into Elon and not Elon?
To Elon, yes.
Re: Twitter's Recommendation Algorithm
#318Earlier quoted context omitted.
This is a very cynical take. They should be commended for publishing recommendation code at all, which no other major social network does.
This is like FB open sourcing the compiled frontend code you can see yourself using inspect. If we commend them for this we're helping promote and encourage this faux open source virtue signaling
No, that's very different.
Re: Twitter's Recommendation Algorithm
#319Re: Twitter's Recommendation Algorithm
#320From https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92... ( "author_is_elon", candidate => candidate .getOrElse(AuthorIdFeature, None).contains(candidate.getOrElse(DDGStatsElonFeature, 0L))), ( "author_is_power_user", candidate => candidate .getOrElse(AuthorIdFeature, None) .exists(candidate.getOrElse(DDGStatsVitsFeature, Set.empty[Long]).contains)), ( "author_is_democrat", candidate => candidate .getOrEls…
Update: Elon was asked about these in a Twitter Space, he says it's not appropriate and will be removed from the codebase. Additionally, from another Twitter engineer, the Democrat/Republican flags are apparently 10 years old and not important and do not have high feature importance.
I think the decade old comment related to a different part of the code regarding the number of followers you have in relation to the number of accounts you follow. (Everybody on the call wants to remove this: I wonder why they haven't yet.)