Machine Learning-Based Fake News Detection System Using Blockchain

Now a days, news on print and digital media has become very essential for everyone to stay aware with current happenings in the world. The increased amount of IT penetration and digitization has resulted in more number of people accessing various social media offerings like YouTube, Facebook, Twitter, Yahoo, etc. With the increased usage of social media, the amount of fake news also has increased disproportionately high. Fake news may cause economic and social problems. It is very difficult to find source of fake news and to make the concerned accountable for it. The accountability of authentic news is decreasing day by day. In this paper, we are proposing a Blockchain-based platform which acts as a media to share news. The source of news and each interaction will be recorded in the Blockchain and it is immutable. Users have read access to the news and they can also give rating to news based on its authenticity. Authors/journalists have write access, so that they can post their contents to media. Because all the interactions are available on Blockchain, it is easy to trace back the source of fake news if any.