Jay Baxter

Our algorithm actually takes advantage of partisanship and polarization. So for any Community Note on a polarizing topic, 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.

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