Maybe it’s not the algorithm that sucks, but the interface - specifically that it conflates algorithm training with content consumption. Perhaps the main page should not update on your clicks, just show content. A separate interface should be used to pick content you want to see more or less of.
The interfaces do suck, yeah. You could design something more conducive to flourishing in a weekend.
Seems like a lot of work and a lot of side effects just to induce it to go way overboard and do a crappy job of showing me something maybe a bit closer to what I want. How about if I just don't visit the site unless I want something specific, and then I use search to find it?
I spend very little effort optimizing my feed and I get to see a bunch of interesting stuff, have fun conversations with friends, and make new ones.
As an addendum to the post, I note that I unlocked a lot of fun on twitter when I realized I can treat it as a messaging platform for my friends, or basically anyone I want to talk to. This realization happened after meeting @Croissanthology and seeing his (its?) fearless use of @ and total rejection of algorithmically curated feeds.
People keep complaining about how their twitter feed is infested with politics or relationship discourse, how Youtube keeps showing them Anime Girl Butts: A 5 Hour Review, or Facebook serves them up AI generated slop that clueless old-people upvote. They bemoan the tyranny of the Algorithm and talk about how social media companies are Out To Get You. That said Algorithm is fiendishly clever. That said Algorithm only cares about what grabs your attention, not what you want. That said Algorithm sucks.
To which I say: Maybe you suck. Have you ever thought about that, eh, Lesswrong? No, seriously, consider it. Maybe this is just a skill issue? Maybe you've put your locus of control into FAANG's hands and are wondering where things went wrong? Maybe you don't know how to interface with algorithms? Maybe you don't focus on what you want to see more of?
The answer is yes.
[1]And you're in luck, because I've invested literally any effort at all into using algorithms. Which, shockingly, is enough to not only beat back the trash infesting the rest of your feeds, but remove it all together.
I'll give you an example. You know what was the last big issue I had with my feed? Too much art. I was literally inundated by a sea of beautiful things. That's it.
You can outwit social media algorithms. They are little ML systems that generalize poorly, suffer from catastrophic forgetting, and only give results as good as the data they get. They're dumber than my friend's sister's friend's dog. And like a dog, you can train them if you try, literally at all.
OK, time to stop insulting you and get to what you should do.
After cultivating a habit of telling the algorithm what you want to see more of, you may find it starts to become intuitive.
"Oh, I shouldn't click on this politics thread, that will just show me more rage-bait."
"Wait, I don't actually like this guy's tweets. In fact, they're low signal. Muted."
"Click on profile. Like 8/10 tweets. Follow."
At which point, you too will feel a sense of distance when people complain about how terrible their "For You" feed is.
With thanks to norvid_studies, kit, imit, @Croissanthology, @Tomás B., @lsusr, tassilo and Taylor G. Lunt for giving feedback.
A friend notes that this post reminds them of a common "two-lens view of poverty, diet and weight, ..., that is: for any person, ordinal personal factors always 'cause' why they're somewhere in the distribution of people. but at the same time 'the economy' or 'the food environment' move the entire distribution. and in secular fashion will raise or lower everyone independent of the individual treading water. that's how i'd think about 'algorithms' funneling and translating attention into semi stable loops. that said there is plenty of room to blame the user." This is a good point, and as AI gets better, I expect the skills required to interface with SM algorithms to become too high for anyone unless we're watched over by machines of loving grace. Even now for some poor souls, learning to train social media algorithms is too great a challenge. Frankly, we were dealt a bad hand with the social media landscape we got. Yet it is still possible to win with a bad hand. This article is not for the poor souls who can not. It is for you, dear reader. You are strong enough to win.
For a case study in pavlovian conditioning, see @lsusr's post Training My Friend To Cook. (His friend was glad of it.)
A fellow traveller on Twitter tells me that my advice basically doesn't work for Instagram as its algorithm is much harder to train. I'm going to stick my neck out and say "skill issue", but he may well be right. It wouldn't shock me if some algorithms are more inclined to slop.
Of course, the optimal amount of control of your feed is not 100%. You can, and should, somtimes use the tools available to you to engage in digital social life at the expense of confusing the algorithm.