16.4% of the comments on Yahoo News are “abusive,” according to human screeners. Now Yahoo has devised an abuse-detecting algorithm “that can accurately identify whether online comments contain hate speech or not,” reports Wired UK:
In 90 per cent of test cases Yahoo’s algorithm was able to correctly identify that a comment was abusive… The company used a combination of machine learning and crowdsourced abuse detection to create an algorithm that trawled the comment sections of Yahoo News and Finance to sniff out abuse. As part of its project, Yahoo will be releasing the first publicly available curated database of online hate speech.
The machine-learning algorithm was “trained on a million Yahoo article comments,” according to the article, and Slashdot reader AmiMoJo writes “The system could help AIs avoid being tricked into making abusive comments themselves, as Microsoft’s Tay twitter bot did earlier this year.”
Read more of this story at Slashdot.