Yahoo fights hate speech with abuse algorithm

Yahoo has developed an algorithm that can detect if people are using hate speech online and in tests, which has been able to detect abuse in 90 per cent of cases in tests. The algorithm is built upon machine learning technologies and crowdsourced abuse detection, analysing parameters such as comment length, number of insult words and punctuation on thousands of articles on Yahoo News and Finance to work out what can be classed as abusive. Trained abuse-hunter humans also analysed these same pages, inputting them into the database and further training the algorithm to pick up what is classed as abuse. The third aspect was using Amazon’s Mechanical Turk website, which allows companies to pay people to use their own human intelligence to sort out which comments were classed as abusive…


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