The development of network infrastructure and the growth of technology has made it possible to expand the number of users connected to the Internet, enabling them to access billions of news and information. Moreover, the spread of social media has provided an opportunity for everyone to make their opinion heard. However, on the other side, the new technological features have allowed malicious users to exploit their advantage and spread misleading or fraudulent news. Within this scenario, our paper proposes a fake news detection algorithm that classifies information according to several parameters: the writing style, sentiment analysis, and news context. Furthermore, the model takes advantage of Blockchain technology, which provides the outline of digital contents authority proof. Finally, simulations with a well-known dataset show how the proposed model can effectively isolate fake news and distinguish them from real ones.
