Fake Video News Detection Using Deep Learning Algorithm

Nowadays in the modern era, the Internet is one of the most ubiquitous so everyone is addicted to the various resources which are available on online mode. The resources such as news are available on various online platforms such as Facebook, Twitter, and WhatsApp. Due to social media platforms the rapid spread of the news in a very short time. The news which is spread over the various people cannot be recognized whether it is correct or fake news. So, this fake news can generate many consequences. Fake news is one of the major issues in the modern era and can influence decisions. As the result to overcome fake news, the various latest technologies that are machine learning algorithms can be applied to overcome this situation. In this paper, a novel framework is proposed that is mainly used on various natural language techniques is detect whether the news is fake or not. The various algorithms which are been used such as logistic regression (LR), random forest (RF), naive Bayes classifier (NBC), web scrapping (WS), and deep neural network (DNN) algorithms were used to detect the fake news. A self-collected dataset was used in this work which consists of more than 200 news videos from various sources. Deep neural network has obtained 98% of accuracy which was the highest among all the models.