<cite>Rubin et al. (2016)</cite> 's work by offering a quantitative study of linguistic differences found in articles of different types of fake news such as hoax, propaganda and satire. They also proposed predictive models for graded deception across multiple domains. We show that our proposed neural network based on graph convolutional layers can outperform this model.