Detection of Fake News using Recurrent Neural Network

Fake news of social media is growing rapidly. The exponential growth and clean get right of entry to of the facts available on social media networks has made it elaborate to distinguish among fake and real news. Detecting fake news is very important. To identify the fake news detection techniques are proposed in Machine Learning and Deep Learning. In this Recurrent Neural Network method is used to determine whether or not the information is actual or fake information. Fake news will mislead and create wrong perceptions among the people. This paper explores different textual properties which are used to distinguish between real and fake news. In this, datasets of fake and true news are used to train the model using proposed algorithm. The accuracy of the model will show the efficiency of the system