HCAug 31, 2017
Identifying Unsafe Videos on Online Public Media using Real-time Crowdsourcing
arXiv:1708.09654v1
Originality Synthesis-oriented
AI Analysis
This addresses content moderation for online platforms, but appears incremental as it applies existing crowdsourcing techniques to video streams.
The paper tackles the problem of determining the appropriateness of streaming videos on public media by using real-time crowdsourcing, resulting in a method for identifying unsafe content.
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.