Exploring this further. I don't have real numbers but I suspect yours are pretty far off.
10% reported seems high, possibly by as much as an order of magnitude. The overwhelming majority of tweets are vapid and innocuous.
It seems like an ML algorithm could do better than 90%. It doesn't have to be as perfect as driving a car; if it screws up occasionally it will merely annoy users (and probably the users that are most troublesome).
If twitter becomes a more permissive environment, less censorship is necessary. Agree or disagree with it, it means less work for the censors.
Paid subscriptions give you a significant new trust metric for users.
The rest you can farm out to mechanical turk?
250 seems within the realm of possibility. People will complain about you the same way they complain about Google, but they'll keep using your product.
I pointed this out in a sibling, but 10% would also include automatically reviewed tweets for misinformation, covid, and any other language filters they have in place.
Also, having worked for a company that did ML sentiment analysis and content analysis against the twitter firehose, the accuracy of ML was closer to 65% than it was 99%. Yes, the company had a huge in-house crew dedicated to checking that 35%, and monitoring twitter manually for anything missed.
10% reported seems high, possibly by as much as an order of magnitude. The overwhelming majority of tweets are vapid and innocuous.
It seems like an ML algorithm could do better than 90%. It doesn't have to be as perfect as driving a car; if it screws up occasionally it will merely annoy users (and probably the users that are most troublesome).
If twitter becomes a more permissive environment, less censorship is necessary. Agree or disagree with it, it means less work for the censors.
Paid subscriptions give you a significant new trust metric for users.
The rest you can farm out to mechanical turk?
250 seems within the realm of possibility. People will complain about you the same way they complain about Google, but they'll keep using your product.