It'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.
Twitter's Recommendation Algorithm
731–740 of 1001 posts
Re: Twitter's Recommendation Algorithm
#732Earlier quoted context omitted.
So many unnecessarily cynical takes here. Let's say you were in charge of a large legacy system that some segment of customers complain about it not working for them as well as other segments. How would you know whether their complaints are valid unless you measured it? You have to know first. So measure it.
Yeah, but then what do you do after you measure it? Nothing? No, you make decisions differently so as not to offend whoever is part of the criteria. For example, can we agree that we don't want an "author_is_flat_earther" flag? Because who gives a shit if Twitter makes a change to their recommendation engine that negatively affects flag earthers? Just because something is only used for A/B testing doesn't make it com…
Re: Twitter's Recommendation Algorithm
#733Re: Twitter's Recommendation Algorithm
#734Re: Twitter's Recommendation Algorithm
#735Earlier quoted context omitted.
Wait, am I missing something here or author name is cleary mentioned as elon here while musk’s twitter id it @elonmusk? Why is everyone assuming this code is about elon?
Are you serious? What other Elon do you think it refers to?
Re: Twitter's Recommendation Algorithm
#736Earlier quoted context omitted.
This shouldn't really be a surprise to anyone. It was reported years ago that Twitter was unable to cut down on hate speech because the automated systems they developed triggered too many [debatably false] positives on Republican politicians and that was bad for the company's reputation. If Twitter wanted to prevent future code changes from impacting that approach, there needed to be something like this in the code o…
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Re: Twitter's Recommendation Algorithm
#737Earlier quoted context omitted.
Do you think the code looked like that prior to Elon's purchase? I suspect that there was another name there before. Separately, which of these groups do you think that they use as a control?
> I suspect that there was another name there before Who ? Musk is unique in being obsessed with being liked and relevant. All of the other social CEOs including Porag and Jake have never really cared that much. And none of them participated in contributing content anything close to what Musk does.
Re: Twitter's Recommendation Algorithm
#738Earlier quoted context omitted.
Couple problems: 1. Actively supplying negative feedback is sometimes hidden behind secondary menus, making it much higher friction compared to just...scrolling past. So most users don't spend the effort. Even with a dislike button, it's unclear what the system is learning. It can't know that I don't like this particular video because it's a conspiracy theory, and to stop showing me those. These platforms often don't…
Eh, 1 is sort of why I see implicit negative feedback as more useful here. Namely, tracking the duration a user is probably giving their attention to a given item, weighted in accordance with how long you'd expect someone to give their attention to an item based on how long it is. For example, I might see a some specific word or pattern of words in a tweet and quickly skip to the next one. That's very low friction bu…
Yes, there are signals in human behavior that you can feed to your model. But no, it is never going to learn "on Mondays he works on his comics, so he'd prefer to see webcomic-related content" Don't sprinkle in your explore/exploit experiments. I know what I want, just let me decide based on what I'm in the mood for!
TikTok-style feeds are the absolute worst offender here, where they couldn't care less about what you think. They will serve you content, and you will either say "yes" or "no". So the only option for you as the user is to just wander through their content hyperspace. There's no structured way to jump between topics because everything lives in this formless content soup.
The other problem is that many social media platforms have you subscribe to the content streams of individuals directly. Individuals are high variance. How can you teach these engines that "I only care about this person's posts about pianos, not their terrarium hobby."
Re: Twitter's Recommendation Algorithm
#739Re: Twitter's Recommendation Algorithm
#740Earlier quoted context omitted.
That’s not how it works. See the parent.
They said that they use it for metrics, so clearly there must be an "elon impression" metric.
it starts dropping, klaxons start blaring, the room drops to red only lighting, engineers on the floor start pulling out their hair knowing the shitstorm that's coming