“We can look at random samples of raters, and if they're rating things very differently than self-selected, possibly malicious raters, then that's a very important signal”

Community Notes team · TED Tech · How Community Notes reduce viral misinformation | Jay Baxter and Keith Coleman

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What was described

sample random raters and flag those whose ratings differ sharply from the self-selected pool

Said nearby on the same subject

“We flag those things that an underwriter might have missed. We flag those discrepancies, the yellow flags, the red flags, the green flags that are sometimes buried in that information.”
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“We'd say, control F on steroids and matching words… I would build scripts to find those matching words and flag them”
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