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Twitter's Recommendation Algorithm

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Re: Twitter's Recommendation Algorithm

#301
post #236

Earlier 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 one individual over the rest of the world?

Re: Twitter's Recommendation Algorithm

#302

Earlier 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.

So you imagine these tags are set by looking account names up on state voter registration lists?

Re: Twitter's Recommendation Algorithm

#304

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

Re: Twitter's Recommendation Algorithm

#306

Issue list is growing rapidly for a repo created an hour ago.

Non-issues most of them:

- author_is_elon: the problem is his tweets suck. stop recommending them.

- Include 'who viewed my profile' option in twitter

- Only one commit on repo

- How do I use it?

- Cool

- allow "AI" to tweet and like tweets on your behalf

- IMPORTANT: Guys please keep this place for real bugs and contributions,

etc...

Re: Twitter's Recommendation Algorithm

#307
post #290

Earlier quoted context omitted.

Perhaps if you did follow so many people they got drowned out, but with substantially fewer following, those recommended tweets were a big part of what I saw. Especially in the last year or so before Musk took over: Twitter went a lot more aggressive and didn't just show tweets which people you follow "liked", but also other tweets, which the algorithm somehow determined you might like, which was often wrong, and, mo…

Yep, having had created a few throwaway accounts I definitely got a sense of how the algorithm compensated for the majority of users who aren't super active. And it makes sense -- most new users aren't going to want to spend account creation picking 50 accounts to follow. But if someone has hit the follow button 1,000+ times, it's reasonable to have some faith that they've seen a lot of tweets and know what they want…

Is the "following" tab an option for you? Or what would you like the "for you" tab to do? Filter out heavy tweeters? Prioritize more popular tweets?

Re: Twitter's Recommendation Algorithm

#309

Earlier quoted context omitted.

So they could pretend to be open. It's the "Open"AI model. Open-washing?

This is a very cynical take. They should be commended for publishing recommendation code at all, which no other major social network does.

[flagged]

Re: Twitter's Recommendation Algorithm

#310

Why are there two spaces instead of four in this Python code, it hurts my soul

Cost saving measure. This sort of emotionalism is why engineers need to kept out of the C-suite.

Not sure if you're being sarcastic, but if you're serious, I'm pretty sure the OP is talking metaphorically. It's just a slight annoyance he's not "emotional" about it.

I also fail to see how someone who is annoyed by code that doesn't follow well established standards is somehow not a good fit in the C-suite.

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