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Published September 30, 2021 | Version v1
Journal article Open

A Review on Epidemiological Methods to Detect Untrue Information

  • 1. Professor, Department of Computer Science and Engineering, Engineering College Bikaner, Bikaner (Rajasthan), India.
  • 1. Publisher

Description

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.

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Is cited by
Journal article: 2278-3075 (ISSN)

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ISSN
2278-3075
Retrieval Number
100.1/ijitee.K945609101121