It would be trivial to develop software that could tag subsequent posts that are similar to a post that has been tagged by community notes. Developing this code would be a medium T-shirt, problem and trivial to implement. Either X has crappy programmers or it is intentional.

I have seen the same thing with the 2025 plan being sold as a Trump platform when he has never had anything to do with it. People continue to post that it is his platform when it isn’t.

Even Elon is spreading and amplifying misinfo from Vatniks for the past one and half years

You don't over optimize. This would require AI to parse over one quarter of million post per day comparing it to all other posts. This is a huge compute load. You sound like a non technical project manager the actual programmers make fun of.

You've gotta be correct: engagement. but there's also most likely a much darker reason as well.

He probably doesn't want you to salt the earth on the engagement farming

It's not trivial. You can tag posts that are about the same topic but not exactly the same intent. For example if a post is debunking nuclear attack on Lebanon, it will also be tagged as misinformation.

It was rather annoying, wasn't it. 💯 agree with your plan. Also flagging suspected AI generated content would be good too (especially if it's from Grok). Other platforms suck due to their partisan censorship, so I appreciate your advocating for good ideas.

You were way better like a years ago, what happened to you?

What if someone posts the same video, but made a different point contradicting the community-noted tweet? You can get lots of content incorrectly tagged. More complicated problem then i think your letting on

trivial but extremely expensive algorithmically. you're looking at LLM execution to validate intention. LLM inference isn't cheap at the scale of twitter.