Diminishing Spread of False Message in Twitter using Block chain and Machine Learning

Abstract

A communication platform such as social media often works to change or influence opinions when it comes to political views. Microblogging platforms such as Facebook, Pinterest, Tumblr, Instagram enable users to con- tribute new postings which are publicly visible. Twitter stood out as overpowering news equipment, giving information to the world. It is very common for users to logo on to this site for immediate update on recent happenings like natural disasters, political events etc. Due to the enlarging reputation of Twitter, this aroused spammers to circulate false information. The proposed scheme seeks to reduce the spread of false information in Twitter using blockchain consensus algorithm, along with classification and machine learning algorithms. A "tweet" gets posted based on the validation provided by the nodes in the blockchain. The system works according to the sensitivity of the tweet.