A probabilistic approach toward evaluation of Internet rumor on COVID

Yancheng Yang; Shah Nazir; Wajeeha Khalil

doi:10.1007/s00500-022-07064-1

A probabilistic approach toward evaluation of Internet rumor on COVID

Soft comput. 2022;26(16):8077-8088. doi: 10.1007/s00500-022-07064-1. Epub 2022 May 5.

Authors

Yancheng Yang^{1

2}, Shah Nazir³, Wajeeha Khalil⁴

Affiliations

¹ Henan University of Science and Technology, Luoyang, China.
² Luoyang Institute of Science and Technology, Luoyang, China.
³ Department of Computer Science, University of Swabi, Swabi, Pakistan.
⁴ Department of Computer Science and Information Technology, University of Engineering and Technology, Peshawar, Pakistan.

Abstract

Several people around the world have died from the coronavirus (COVID-19) disease. With the increase in COVID-19 cases, distribution, and deaths, much has occurred regarding the ban on travel, border closure, curfews, and the disturbance in the supply of services and goods. The world economy was severely affected by the spread of the virus. Every day, new discussions and debates started, and more people were in fear. Occasionally, unconfirmed information is shared on social media sites as if it were accurate information. Sometimes, it becomes viral and disturbs people's emotions and beliefs. Fake news and rumors are widespread forms of unconfirmed and false information. This type of news should be tracked speedily to prevent its negative impact on society. An ideal system is the dire need of modern-day society to evaluate the Internet rumors on COVID. Therefore, the current study has considered a probabilistic approach for evaluating the Internet rumors about COVID. The fuzzy logic tool in MATLAB was used for experimental and simulation purposes. The results revealed the effectiveness of the proposed work.

Keywords: Covid 19; Covid pandemic; Fuzzy logic; Internet rumor; Soft computing.