Fake News Detection (DigiAuth)

Abstract

Social network developers and researchers are facing a big challenge in the form of rumors and misleading information. The verification of the reliability and credibility of is a vital requirement for social media consumers. Thus, Blockchain is a powerful tool and it’s secure and tamperproof p2p design and immutability provides this magical solution. The motive of this project is to diminish the spread of misinformation and be a means for the true information to be visible to the public. This also promotes the true essence of journalism and collaborates with the journalists and other platforms to combat fake news on the web. The main idea behind the project is to create a system to flag news as fake or real. The system will take text data by scrapping the online news sites(predefined) and after pre-processing the data, NLP techniques would be applied on it to classify it as fake or true. The next module will be about registering the authenticators into the blockchain ledger. The ML classified news will be inputted into the ledger where the authenticators will authenticate it and flag it as fake or true. This flaggednews will be visible to the public through the web screen along with the reputation score of the authenticator provided by a consensus algorithm.