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- Yahoo Has a Tool that Can Catch Online Abuse Surprisingly Well
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Microsoft, Yahoo extend their possible search-deal termination date
Last week, Twitter banned a journalist that it accused of orchestrating a campaign of abuse aimed at one of the stars of the all-female Ghostbusters reboot. Twitter said it would introduce new guidelines and tools for reporting abuse through its service. Certainly, countless other incidents on Twitter and elsewhere go unnoticed every day. Researchers are, in fact, making some progress toward technology that can help stop the abuse.
A team at Yahoo recently developed an algorithm capable of catching abusive messages better than any other automated system to date. The Yahoo team used a number of conventional techniques, including looking for abusive keywords, punctuation that often seemed to accompany abusive messages, and syntactic clues as to the meaning of a sentence. But the researchers also applied a more advanced approach to automated language understanding, using a way of representing the meaning of words as vectors with many dimensions.
For instance, even if a comment contains a string of words that have not been identified as abusive, the representations of that string in vector space may be enough to identify it as such. When everything was combined, the team was able to identify abusive messages from its own data set with roughly 90 percent accuracy. Catching the remaining 10 percent may prove tricky.