Identifying Suitable YouTube Videos for Children

Content-sharing platforms such as YouTube or MyVideo are experiencing huge user numbers that are still rising very quickly. Among the users there is a steadily growing share of children. In spite of this tendency the content of many popular videos is not suitable for children and should therefore not be shown to them. In this work we present an automatic method for determining a shared video's suitability for children based on non-audio-visual data. We evaluate its performance on a corpus of web videos that was annotated by domain experts. We finally show how community expertise in the form of user comments and ratings can yield better prediction results than directly video-related information.