Researchers have developed a deep learning-based classifier designed to detect YouTube videos with disturbing content for kids. The research was prompted by the increasing number of young children who have their attention drawn to more modern video consumption platforms such as Google’s YouTube. YouTube’s counter-measures put in place to protect young viewers from disturbing content are ineffective when it comes to detecting this type of videos in a timely fashion. The deep learning video content classifier reached an accuracy of 82.8% and it also helped them reach the conclusion that toddlers watching videos on the YouTube platform have a 45% chance of being suggested an inappropriate one within 10 hops if starting “from a video that appears among the top ten results of a toddler-appropriate keyword search”””
Source: https://www.bleepingcomputer.com/news/security/researchers-create-algorithm-to-protect-kids-from-disturbing-youtube-videos/