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AI saving humans from the emotional toll of monitoring hate speech

A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.

Multi modal discussion transformerLiam hebertIntegrating textGraph transformersDetect hate speechSocial media

AI Shields Humans From Emotional Impact of Hate Speech Monitoring

AI Shields Humans From Emotional Impact of Hate Speech Monitoring
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University of waterlooMulti modal discussion transformerLiam hebertIntegrating textGraph transformersDetect hate speechSocial media

AI saving humans from the emotional toll of monitoring hate speech

A team of researchers at the University of Waterloo have developed a new machine-learning method that detects hate speech on social media platforms with

University of waterlooMulti modal discussion transformerLiam hebertIntegrating textGraph transformersDetect hate speechSocial media

Researchers build AI to save humans from the emotional toll of monitoring hate speech

A team of researchers at the University of Waterloo have developed a new machine-learning method that detects hate speech on social media platforms with 88% accuracy, saving employees from hundreds of hours of emotionally .

University of waterlooLiam hebertMulti modal discussion transformerIntegrating textGraph transformersDetect hate speechSocial media

Combating Hate Crimes Through Artificial Intelligence: A Technological Approach To Enhance Social Harmony

Hate crimes continue to be a persistent and distressing issue in societies around the world. These malicious acts are fueled by prejudice, discrimination, and

New yorkUnited statesCommunity engagementUniversity of miamiNew york timesUniversity of miami hate speechDefamation leagueCombating hate crimesArtificial intelligenceTechnological approachEnhance social harmonyNatural language processingDetect hate speechConquer hateSpeech detectorCounter extremism

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