Researchers use machine learning to identify hate speech with 88% accuracy

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 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work. The method, dubbed the Multi-Modal Discussion Transformer (mDT), can understand the relationship between text and images as well as

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