Diminishing Spread of False Message in Twitter using Block chain and Machine Learning
Alagu Vignesh A1, Harini N2

1Alagu Vignesh A, B.Tech student Department of Computer Science and Engineering Coimbatore(Tamil Nadu)India.
2Dr. Harini N,Assistant Professor Department of Computer Science and Engineering Coimbatore(Tamil Nadu)India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 4933-4937 | Volume-9 Issue-1, October 2019 | Retrieval Number: A208309119/2019©BEIESP | DOI: 10.35940/ijeat.A2083.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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 over-powering 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.
Keywords: Blockchain, Consensus, Communication, False tweet, Microblogging, Politics, Tweet, Twitter.