A Survey on Video-Based Fake News Detection Techniques

In today's world, fake news identification is a critical problem. Fake news may exist in form of text, images and videos also. There are several techniques exist for fake news detection including forgery detection techniques. This paper discussed the existing forgery techniques used for the fake video detection. In this study, we addressed the existing issues and challenges which make the forgery detection task cumbersome. We have discussed the use of deep neural network, convolutional neural network, biological signal and spatio-temporal neural network for fake video identification. A comparative study of existing techniques, used for forgery detection, is also provided. This exhaustive survey will help the other researchers to combat deep fake problem.