A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection

The increasing use of social media and people's interest in obtaining information through social media has made several challenges. One of the most important challenges in this context is the propagation of incorrect information, making problems in various areas. Fake news is a class of incorrect information propagating in the media due to different reasons, and handling them should be discussed from various aspects. In this paper, it is tried to present a method for detecting fake news based on their propagation path using deep networks and evaluate the capability of these networks in this context. To this end, an algorithm is presented for stabilizing the propagation path and the proposed model is implemented on this algorithm.