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Impact Analysis and Correlation Study on the Spread of Fake News During Pandemic COVID-19 in Malaysia

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dc.contributor.authorNordin A.Q.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorZain Z.M.en_US
dc.contributor.authorAhmad Zawawi M.N.en_US
dc.contributor.authorid57361474600en_US
dc.contributor.authorid36682671900en_US
dc.contributor.authorid36900229100en_US
dc.contributor.authorid56997510600en_US
dc.date.accessioned2023-05-29T09:10:43Z
dc.date.available2023-05-29T09:10:43Z
dc.date.issued2021
dc.descriptionDecision making; Fake detection; Forecasting; Control orders; Correlation analysis; Correlation studies; COVID-19; Fake news; Impact analysis; Malaysia; Movement control; Movement control order; Social media; Correlation methodsen_US
dc.description.abstractThe issue of fake news spread on social media especially during the pandemic of COVID-19 has become a major threat to various sectors and agencies in Malaysia. It is observed that the new norm that requires Malaysian to work and stay at home during Movement Control Order (MCO) has contributed to the rapid spread of the fake news. In this research, we study the impact of the fake news during the COVID-19 pandemic in Malaysia and how the number of COVID-19 positive cases in the country would affect the number of fake news being spread locally. We also conducted a correlation analysis between the number of fake news and the number of COVID-19 cases. Result shows a significant strong positive correlation between the two studied variables. Besides, we built a fake news prediction model using linear regression algorithm to predict the number of fake news based the number of COVID-19 cases. However, the model did not show a good performance. This paper is targeted to assist the government, especially Majlis Keselamatan Negara, during the formulation of action plan and decision making in the effort to hinder the spread of fake news, by implying the constructed formula to predict the number of fake news in a day based on the number of COVID-19 positive cases. � 2021, Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-90235-3_43
dc.identifier.epage507
dc.identifier.scopus2-s2.0-85120529125
dc.identifier.spage495
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120529125&doi=10.1007%2f978-3-030-90235-3_43&partnerID=40&md5=f33a03f751841b859698bbde60c10dc9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26455
dc.identifier.volume13051 LNCS
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.titleImpact Analysis and Correlation Study on the Spread of Fake News During Pandemic COVID-19 in Malaysiaen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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