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You missed this in your rush to display your newly acquired sarcasm101 skills: "Skim": To read quickly or cursorily, to glance over, or to omit details in order to get the gist of something.
Fair point, I missed that when I skimmed OPs comment
Context: 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…
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NY Times, WaPo, LA Times and other major accounts too https://www.thewrap.com/ny-times-la-times-not-pay-for-twitte...
Seems dumb of them. Cost is trivial and their competition that isn’t so politically motivated will have a much further reach. The smart move would be silent on the policy change, pay, and support rival platforms as they can. Instead they will eventually pay and look like they lost.
It's wild hubris for twitter to try to invoice/penalize the very users and organizations that make twitter anything but insolvent. There should be money exchanged here, but it should be flowing generously and most importantly in the other direction.
From 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…
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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?
I thought it was an april fools joke when I saw this: https://github.com/twitter/the-algorithm/blob/main/ci/ci.sh Like a dig at the code quality.
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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.
Why does anyone use "for you"?
Probably the same reason some people browse /r/all on Reddit. I think the desire for that sort of thing has waned a lot over the past couple of years, though.
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This is a very cynical take. They should be commended for publishing recommendation code at all, which no other major social network does.
Well if they say “we will open source the algorithm” and then what they really open source is a little bit of slightly relevant code that doesn’t allow us to understand the algorithm, then what we can deduce is that they are trying to weasel out of public commitments. I can’t say for sure if that happened, but if they made a clear promise and then did something else, it’s perfectly reasonable to call that out.
Context: 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…