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.
So many questions. How are users tagged D or R? Is that a manual process or automated somehow? What is the effect of these tags? Can I find out if my Twitter account is in one of those buckets?
Twitter's Recommendation Algorithm
251–260 of 1001 posts
Re: Twitter's Recommendation Algorithm
#252I'm no fan of either Twitter nor Elon Musk, but this is a great move and I hope other companies follow what Twitter did here and start open sourcing more core parts like this. Maybe it's mostly useful for learning how it works, not for directly using it in your own product, but the amount of transparency it gives users cannot be understated. As long as that actually is the code they run, but there would be no way for…
Re: Twitter's Recommendation Algorithm
#253I 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...
Re: Twitter's Recommendation Algorithm
#254I generally have a very low opinion of social media platforms, but I did create a Twitter account for the first time after Musk bought the platform. My conclusion is that it's basically entertainment, with very little of what I'd call high-quality useful information that deserves further examination (unlike a lot of HN posts, in contrast). I also notice something of a Tik-Tok approach to video being implemented, whic…
Re: Twitter's Recommendation Algorithm
#255Re: Twitter's Recommendation Algorithm
#256Context: I teach at Princeton and study social media and recommendation systems. From a very quick skim of the repositories, this appears to be quite limited transparency. The documentation gives a decent high-level overview of how Tweet recommendation works—no surprises—and the code tracks that roadmap. Those are meaningful positive steps. But the underlying policies and models are almost entirely missing (there are…
Re: Twitter's Recommendation Algorithm
#257Context: I teach at Princeton and study social media and recommendation systems. From a very quick skim of the repositories, this appears to be quite limited transparency. The documentation gives a decent high-level overview of how Tweet recommendation works—no surprises—and the code tracks that roadmap. Those are meaningful positive steps. But the underlying policies and models are almost entirely missing (there are…
So why did they opensource it?
Re: Twitter's Recommendation Algorithm
#258Earlier quoted context omitted.
immediately getting rid of the sparkle button is one of the few reasons i still have a small amount of faith in elon’s vision of twitter
- Open sourcing this - Lists as tabs - _Heavily_ reduced spam - Can look at Twitter without logging in I'm likely missing some other obvious/uncontroversially good changes. I still use Twitter and plan to continue using it. I am satisfied with most of his changes.
Re: Twitter's Recommendation Algorithm
#259It's reassuring to know that billion dollar tech companies write CI exactly like I do: https://github.com/twitter/the-algorithm/blob/main/ci/ci.sh Permalink: https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
Re: Twitter's Recommendation Algorithm
#260Earlier quoted context omitted.
immediately getting rid of the sparkle button is one of the few reasons i still have a small amount of faith in elon’s vision of twitter
- Open sourcing this - Lists as tabs - _Heavily_ reduced spam - Can look at Twitter without logging in I'm likely missing some other obvious/uncontroversially good changes. I still use Twitter and plan to continue using it. I am satisfied with most of his changes.