MOCK-UP DETECTION OF COVID NEWS IN TWITTER USING OPCNN

The misinformation spread in the news platform is a severe danger to social cohesiveness and well-being since it increases political polarization and people’s distrust of their leaders. Thus, fake news is a phenomenon that is having a significant impact on our social lives, particularly in politics. This paper proposes novel approaches based on Machine Learning (ML) and Deep Learning (DL) for the fake news detection system to address this phenomenon. The main aim of this paper is to find the optimal model that obtains high accuracy performance. Therefore, we propose an optimized Convolutional Neural Network model to detect fake news (OPCNN-FAKE).