Earlier quoted context omitted.
Engineers who work at twitter can easily find another job in the US.
It's harder with visas, because you're not gambling if you can find another job, you're gambling if your employer can acquire a visa in time for you to not be deported.
Twitter's Recommendation Algorithm
471–480 of 1001 posts
Re: Twitter's Recommendation Algorithm
#472Re: Twitter's Recommendation Algorithm
#473Earlier 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. 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…
Why measure something if you don’t intend to change it?
Re: Twitter's Recommendation Algorithm
#474Wow, we're getting some collaboration going!
Re: Twitter's Recommendation Algorithm
#475Earlier quoted context omitted.
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?
And how are they choosing to balance them, per capita, or just both sides should get 50%? It seems pretty clear they are making editorial decisions here. Does that break their section 230 protections?
Re: Twitter's Recommendation Algorithm
#476Earlier quoted context omitted.
The vast majority of self-proclaimed independents vote with one party just as reliably as registered members.
American's lax attitude towards cultivating more than two parties is literally killing the republic from the inside.
Re: Twitter's Recommendation Algorithm
#477It's disappointing the comments are so obsessed with the political angle to this that there's a total lack of appreciation (or discussion) of opening up the most influential social media platform in the world.
There's no way to actually use this limited release to understand how or why any tweet is boosted, so we're in exactly the same boat we were in yesterday.
Re: Twitter's Recommendation Algorithm
#478Earlier quoted context omitted.
Only used for metrics, apparently. [0] /** * These author ID lists are used purely for metrics collection. We track how often we are * serving Tweets from these authors and how often their tweets are being impressed by users. * This helps us validate in our A/B experimentation platform that we do not ship changes * that negatively impacts one group over others. */ [0]: https://github.com/twitter/the-algorithm/blob/7f…
... Metrics tracked in AB test. So even if it's not explicitly encoded in the algo (or implicitly through some of the features plugged in), they'll pick the winning cell as long as it doesn't hurt Elon's metrics (I'm just parroting the comment you quoted). It doesn't have to be in the algorithm for the systems to be tweaked to please Elon vanity metrics. [I've been running lots of ML AB tests over the years, some in…
It definitely isn't just metrics. Any algorithm change that negatively affected Musk was clearly not going live.
Re: Twitter's Recommendation Algorithm
#479Why are there two spaces instead of four in this Python code, it hurts my soul
https://www.quora.com/Why-does-Google-use-2-spaces-for-Pytho...
Re: Twitter's Recommendation Algorithm
#480Earlier quoted context omitted.
This still exists as the Following tab and viewing it is a persistent option. You don’t need to see the algorithm feed (“For You”) ever.
Roughly one in every four to five tweets in the “following” feed is a “promoted” tweet, at least on mobile. 20-25% noise isn’t a great ratio for something that I ostensibly curate.