Prevention of Fake News Propagation Using Blockchain Technology
Author(s):
Mr.V. Manoj Kumar, R.Shuwedha, S.Sivapriya, V.Thenmozhi, I.Thusneem Firthose
Keywords:
Blockchain, Sentimental Analysis, Naive Bayesian Classifier
Abstract
The digital information age has been generated a lot of outlets for content creators to publish so called fake news. A fake news is a propaganda that is intentionally designed to mislead the reader. With the wide spread effects of fast dissemination of fake news, efforts have been made to automate the process of fake detection. In this paper, we will focus on facts and not directly on the truth which is somehow related to emotions and personal belief in age of post-truth. In our definition, fact is that things actually happened and truth is that people think or believe that things happened our approach is to hopefully bring consensus eventually of truth to people mind by certifying and broadcasting fact. The three interactive functions on social media- tracking, sharing, creating empower users to keep abreast of popular information to repost any news, to express subjectively determined facts and to even host live broadcast. Through the tracking, sharing and creation interaction among large user base, social media has been able to shape the major civic activities.
Article Details
Unique Paper ID: 149169

Publication Volume & Issue: Volume 6, Issue 11

Page(s): 218 - 222
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Last Date 25 August 2020

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