A Novel Method for Detecting Fake news: Deep Learning Based on Propagation Path Concept

In the modern world, social media are extensively used for the purpose of communication, business and education. Although ease of use and simple accessibility to social media has expanded their applications, but unfortunately, they are associated with potential dangers which may negatively influence users. As main item, the publication of fake news can negatively affect various aspects of life (political, social, economic, etc.), therefore researchers have studied various methods to address the fake news detection. One way to check and detect fake news is to use the available features in news propagation path, news publisher and users. In this paper, an attempt has been made to investigate fake news detection based on these features and a proposed deep neural network model.