“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”
CN
Community Notes team
TED Tech ·
“We look for raters who have rated things really similarly in the past, and actually, we might treat them as the same person just to limit the influence of really similar behavior”
Community Notes team · TED Tech · How Community Notes reduce viral misinformation | Jay Baxter and Keith Coleman
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16:08
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What was described
treat raters with highly similar past ratings as the same person to limit influence
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♫
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