New study says encouraging consensus among data labelers from diverse backgrounds can lead to better AI for detecting misogyny and harassment on social media (Khari Johnson/Wired)
New study says encouraging consensus among data labelers from diverse backgrounds can lead to better AI for detecting misogyny and harassment on social media — Misogyny on the internet too often slips through the filters of content moderators. A new method hopes to inject more nuance into the process.
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New study says encouraging consensus among data labelers from diverse backgrounds can lead to better AI for detecting misogyny and harassment on social media (Khari Johnson/Wired)
![New study says encouraging consensus among data labelers from diverse backgrounds can lead to better AI for detecting misogyny and harassment on social media (Khari Johnson/Wired)]()
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August 05, 2021
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