Techniques are disclosed for identifying videos containing objectionable content. An example method comprises identifying, by a computing system, a video uploaded to a video sharing service, generating an embedding for the video using a neural network, wherein the embedding specifies a location of the video in a multi-dimensional space where a plurality of videos are located based on content of the videos, identifying from the videos a plurality of associated videos that each have an associated embedding that is located within a predetermined distance of the embedding, determining whether the video is likely to include a particular type of objectionable content by at least determining at least a predetermined amount of the associated videos that contain the particular type of objectionable content, and responsive to determining that the video is likely to include the particular type of objectionable content, causing the video to be blocked from the video sharing service.