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Researchers use machine learning to identify hate speech with 88% accuracy (uwaterloo.ca)
3 points by geox 11 months ago | hide | past | favorite | 3 comments



"the comment ‘That’s gross!’ might be innocuous by itself, but its meaning changes dramatically if it’s in response to a photo of pizza with pineapple versus a person from a marginalized group."

Should boost the prospects of marginalised persons seeking employment influencing for gross pizza producers.

Presuming of course the "AI" can detect marginalisation by appearence alone..


I'd like to know their definition of "hate speech".


"The model was trained on 8,266 Reddit discussions with 18,359 labelled comments from 850 communities."

Reddit.

You couldn't make it up.




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