{"id":296964,"date":"2025-03-08T08:50:00","date_gmt":"2025-03-08T07:50:00","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=350215"},"modified":"2025-07-01T15:14:05","modified_gmt":"2025-07-01T22:14:05","slug":"new-ai-model-detects-toxic-comments-with-an-accuracy-of-87-6","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/new-ai-model-detects-toxic-comments-with-an-accuracy-of-87-6\/","title":{"rendered":"New AI model detects toxic comments with an accuracy of 87.6%"},"content":{"rendered":"\n

Researchers from Australia and Bangladesh have developed an innovative machine learning model that can detect toxic comments on social media with an accuracy of 87.6%.<\/strong><\/p>\n\n

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This advance was presented at the 2024 conference on Innovation and Intelligence in Computing, where the growing concerns about cyberbullying and its devastating effects on the mental health of online users were discussed.<\/p>\n\n\n

The combination of efforts between East West University in Bangladesh and the University of South Australia has resulted in an algorithm that outperforms existing models, which often generate a high number of false positives.<\/p>\n\n\n

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A novel approach to identifying Internet trolls and toxic content on social media using deep learning. Trolls can no longer hide behind anonymity. In fact, anonymity is an illusion, only believed by fools. #cybersecurity<\/a> #law<\/a> #legal<\/a> #Security<\/a> #trolls<\/a>. https:\/\/t.co\/hk3LQzrL80<\/a> pic.twitter.com\/epzHUSazGI<\/a><\/p>— Michael Knight (@michaelmknight) March 3, 2025<\/a><\/blockquote>