  Due to the significant growth of social networking and human activities
through the web in recent years, attention to analyzing big data using
real-time crowdsourcing has increased. This data may appear in the form of
streaming images, audio or videos. In this paper, we address the problem of
deciding the appropriateness of streaming videos in public media with the help
of crowdsourcing in real-time.
