Earlier quoted context omitted.
The author_is_elon flag doesn't surprise me, but the two political designators are somewhat shocking. I'd sure like to know what changes based on what Twitter knows about your political affiliation.
I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing.
Twitter's Recommendation Algorithm
451–460 of 1001 posts
Re: Twitter's Recommendation Algorithm
#452Earlier quoted context omitted.
I know there's a joke about this regarding his ego and there's certainly some truth in that, however it's also quite believable that after a deployment he might have noticed the popularity of his tweets going down (since he no doubt checks his reach), so I can kind of understand how he might see "republicans", "democrats" and "celebrities_it_makes_sense_to_check_this_with_my_account_as_i_am_a_very_active_user" as cor…
The proper way to do that is create a pool of celebrities and monitor them. Not just the CEO's account. For very active accounts, I assume that's what the "vits" or "power user" one is for. Or, heck, "vits" might actually be what you said.
Re: Twitter's Recommendation Algorithm
#453Earlier quoted context omitted.
Those aren't redundant or collinear though? Maybe you are surprised they didn't encode this as an integer "num_images"? It is fairly common to one hot encode ordinal variables with only a few common/possible values this way.
True, it still seems odd to encode an explicitly ordinal variable as categorical (particularly one with a small finite range, in contrast to the follower logarithmic bucket ones), but Twitter's layout is weird enough that it could be a impactful difference in terms of engagement.
Re: Twitter's Recommendation Algorithm
#454Earlier quoted context omitted.
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…
Well, there was this: https://blog.twitter.com/en_us/topics/company/2021/rml-polit...
In fact, in just over a year from the publication of that blog post, Twitter -- as a matter of official company policy -- would be promoting the unfounded belief that Twitter engineers and scientists were actively engaging in a propaganda campaign against conservatives.
The exact opposite reaction of what I'm looking for.
https://www.npr.org/2022/12/14/1142666067/elon-musk-is-using...
Re: Twitter's Recommendation Algorithm
#455Earlier quoted context omitted.
I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing.
The vast majority of self-proclaimed independents vote with one party just as reliably as registered members.
Re: Twitter's Recommendation Algorithm
#456Earlier 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.
Nitpick, but the PageRank algorithm was created before Google, because it was the foundation of it.
Re: Twitter's Recommendation Algorithm
#457Earlier quoted context omitted.
I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing.
> I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing. Is it boosting? Others are claiming this code is just for metrics collection: https://news.ycombinator.com/item?id=35391896 . But on the topic of Democrats vs. Republican vs. independent; a big factor may be that "Democrat" and "Republican" are much more cohesive groups and therefore much…
Re: Twitter's Recommendation Algorithm
#458Where's the beef?
Re: Twitter's Recommendation Algorithm
#459Earlier quoted context omitted.
I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing.
> I thought it was interesting how it explicitly doesn't boost independents. So much of the two-party system is self-reinforcing. Is it boosting? Others are claiming this code is just for metrics collection: https://news.ycombinator.com/item?id=35391896 . But on the topic of Democrats vs. Republican vs. independent; a big factor may be that "Democrat" and "Republican" are much more cohesive groups and therefore much…
Re: Twitter's Recommendation Algorithm
#460Great pull request here which improves the algorithm: https://github.com/twitter/the-algorithm/pull/17
That would be great (unweighting bluechecks) but they actually plan to go in the other direction: Starting April 15th non-bluechecks won't show up in the "For you" section (the algorithm timeline) at all. Unpaid users are being written completely out of the algo. https://twitter.com/elonmusk/status/1640502698549075972