Machine learning to detect fake videos

A system, comprising:

• one or more computer processors;
• and
• one or more memories collectively containing one or more programs which when executed by the one or more computer processors performs an operation, the operation comprising:
• accessing a statement asserting that a video is fake;
• identifying one or more characteristics of the statement, wherein the one or more characteristics comprise source information for the video, source information for an reference video, and one or more timestamps in the video;
• performing consistency checks between audio and video of the video;
• examining one or more video features of the video to detect modifications;
• identifying overlapping clips between the video and the reference video;
• and
• determining that the video is fake based at least in part on the one or more characteristics of the statement, the consistency checks, the video features, and the identified overlapping clips.

A computer program product comprising one or more computer-readable storage media collectively containing computer-readable program code that, when executed by operation of one or more computer processors, performs an operation comprising:

• accessing a statement alleging that a video is fake;
• identifying one or more characteristics of the statement, wherein the one or more characteristics comprise source information for the video, source information for an reference video, and one or more timestamps in the video;
• performing consistency checks between audio and video of the video;
• examining one or more video features of the video to detect modifications;
• identifying overlapping clips between the video and the reference video;
• and
• determining that the video is fake based at least in part on the one or more characteristics of the statement, the consistency checks, the video features, and the identified overlapping clips.