Open AccessA Review on Epidemiological Methods to Detect Untrue Information
Author(s) -
Akanksha Mathur,
Prof. C. P. Gupta
Publication year - 2021
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k9456.09101121
Subject(s) - data science , identification (biology) , computer science , analogy , computer security , linguistics , philosophy , botany , biology
Online propagation of untrue information has been and is becoming an increasing problem. Understanding and modeling the diffusion of information on Online Social Networks (OSN's) of voluminous data is the prime concern. The paper provides the history of the epidemic spread and its analogy with untrue information. This paper provides a review of untrue information on online social networks and methods of detection of untrue information based on epidemiological models. Open research challenges and potential future research directions are also highlighted. The paper aimed at aiding research for the identification of untrue information on OSNs.