A Sentiment-Based Author Verification Model Against Social Media Fraud

The widespread and capability of Iot devices have made them a primary enabler for online fraud and fake authorship on social media. We present a novel approach, which uses sentiment analysis, to solve the problem of author verification in short text. We perform experimentation with our model on tweets, and show that it yields promising results.