Keith Coleman

I think secondly, the notes are just really good.

So they speak for themselves.

They tend to be really accurate.

And the main reason behind that is I think the principle behind the algorithm that doesn't

ingest any sort of external authority, it actually decides what notes to show by looking at agreement from people who have disagreed in the past.

And sometimes we call that surprising agreement or bridging.

And one thing that's really cool about this algorithm, if you compare it to something like a more naive upvote-downvote system, like a majority rules type of thing,

Something like that would just end up showing really biased notes.

And for here, our algorithm actually takes advantage of partisanship and polarization.

So for any community note on a polarizing topic, basically there's always going to be someone out there who's really predisposed to disagree with that note.

So before they're going to rate it helpful, they're going to go fact-check it from every angle possible.

They're going to really check the sources in a lot of detail.

And as a result, the notes that are actually found helpful in this way tend to be really accurate, tend to use primary sources, and tend to be pretty neutral in their language.

You can just see these things going super viral at the start, all the way up until it gets noted.

Basically, after that point, it totally flattens out, gets almost no more views.

And the kind of crazy thing about this is it's actually not getting downranked by our 4U algorithm, the post.

This is actually just because of what we call organic user behavior, where basically people are realizing now that the post is incorrect because the note's on it, so they're just liking it less and reposting it less.

So I think this is really cool.

And one thing that I also love is because our data is totally open, actually a lot of researchers from around the world have looked into this and found the same thing.

So people from Stanford, MIT, UW, and Paris, and Luxembourg have all actually found a very similar thing that