A Mechanism for Controlling Viral Fake News: A concern for Smarter City

Author: Prof. Megha p. Nanhe Ms. Vishakha Thakre Dr. Ambedkar Institute of Management Studies and Research, Deekshabhoomi, Nagpur

Published On: 2021-01-13

Today’s social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such “fake” news based on their content, but it is difficult to agree on universal criteria of authenticity (which can be bypassed by adversaries once known). Besides, it is obviously impossible to have each news item checked by a human. In this paper, we a mechanism to limit the spread of fake news which is not based on content. It can be implemented as a plug-in on a social media platform. The principle is as follows: a team of fact checkers reviews a small number of news items (the most popular ones), which enables to have an estimation of each user’s inclination to share fake news items. Then, using a Bayesian approach, we estimate the trustworthiness of future news items, and treat accordingly those of them that pass a certain “untrustworthiness” threshold. This paper is concern form making smarter city.

Keywords:

 Probability of fake news, Detection of fake news, Credulix Operation