Open AccessDiminishing Spread of False Message in Twitter using Block chain and Machine Learning
Author(s) -
Ridha Muldiegara*,
Rohmat Tulloh,
Nandy Hadiansyah P.N,
Rizka Triani Zahra
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a2083.109119
Subject(s) - microblogging , social media , computer science , reputation , block (permutation group theory) , world wide web , internet privacy , computer security , artificial intelligence , political science , geometry , mathematics , law
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.