Abstract

Abstract: Detection of fake news based on deep learning techniques is a major issue used to mislead people. For the experiments, several types of datasets, models, and methodologies have been used to detect fake news. Also, most of the datasets contain text id, tweets id, and user-based id and user-based features. To get the proper results and accuracy various models like CNN (Convolution neural network), DEEP CNN, and LSTM (Long short-term memory) are used