FAKE NEWS DETECTION USING DS APPLICATIONS

Abstract

The problem of fake news is getting serious day by day and it has
very detrimental impacts in different spheres like that of politics. Due
to the availability of social media, it becomes very easy to spread fake
news and it becomes difficult to identify the culprit. As the culprit of
such actions is not identified, the problem still persists. Hence, there is
aneed to identify the source or origin of such fake news to take the
necessary action. There are several methods to detect fake news but
the common people rarely have time to use these
detectiontechniquesandtheyeasilyfallpreytosuchpiecesof information.
In this paper, we review the different methods that are applied to
detect fake news and address it’s limitations. We propose the flow of
a new blockchain based system that can be used by the news agencies
to ensure the validity of the news published. With the help of such
asystem, the news will be entirely traceable and trackable to
everysinglepointintheagencyandhence,itbecomeseasy to find the
source and identify the culprit in case of any misinformation.