This is why I love the idea of Cromite and other “antifingerprinting” efforts, not simply blocking but spoofing and plausibly randomizing as many metrics as they can.
Comment on Facebook is absolutely cooked
themeatbridge@lemmy.world 1 day ago
Ummmm the Facebook feed is an advanced algorithm that knows a shit ton about what to feed you to keep you engaged. It’s not just the cookies from sites you visit. They track what thumbnails get you to stop scrolling. They track the way a human eye moves and how far your thumb glides across the screen.
Point is, if it’s all scantily clad thirst traps, thats what gets your attention. If you see one, and you stop to take a screenshot for an article you’re writing about how it’s all thirst traps, then every third item will be another thirst trap.
Facebook doesn’t care if you want to see that content. Their goal is to keep your eyes on Facebook. If it makes you mad enough to comment, that’s engagement.
brucethemoose@lemmy.world 22 hours ago
murvel@feddit.nu 10 hours ago
If that’s your take and thats their goal: he doesn’t seem very engaged with the content does he?
So clearly in that case it’s a failure.
themeatbridge@lemmy.world 5 hours ago
On the contrary, I’d say it’s a smashing success. First, the author was deeply engaged with Facebook to write the article. Second, everyone who saw this article and discussed the findings was engaged with Facebook even if they didn’t have the app open. You and I are engaged with Facebook right now. And third, many many more people logged into their Facebook to test the findings either out of curiosity, to disprove the theory, or because they are horny goblins thirsting for smut.
Trixxstrr@piefed.ca 23 hours ago
Exactly, if I look at my facebook feed, besides posts from people and groups I actually follow, the “suggested” posts are all stuff that matches my interests. gaming, music, movies.
panda_abyss@lemmy.ca 20 hours ago
They hadn’t used Facebook in years, so this is the default algorithm state — rage bait and bate-bait.
themeatbridge@lemmy.world 5 hours ago
Seems to have worked then.
Khrux@ttrpg.network 22 hours ago
When I was still using Instagram reels, I was always amazed how quickly the algorithm figured me out. If I hesitated for even a second on a reel, it would amend my next ones immediately. I assume the real trick is comparing it to the average time spent on a reel, everyone spends longer on a wall of text reel, but when I stop on a Linux reel for an extra second, I’m immediately in the 1% for engagement.
I read something years ago about how your phone keyboard tracks your recommended words, it knows if you’re more likely to type apple or Apple, or if you type soup more than average, and any app that gets that data and compares it to the baseline has an instant, in depth profile on you.
thatonecoder@lemmy.ca 21 hours ago
This is exactly why using something like FUTO Keyboard is essential, nowadays.
Imgonnatrythis@sh.itjust.works 20 hours ago
I’ll have to try that. Can you comment at all on the quality of the autocorrect and ability to learn your vocabulary? I don’t want to connect my keyboard to a server farm but I certainly do want it to learn to help me type more efficiently on this tiny keyboard.
thatonecoder@lemmy.ca 20 hours ago
Well, if you enable the model fine-tuning, it should be fine. I do not commit a lot of mistakes, and I usually correct manually, though.