TY - GEN
T1 - Impact Analysis and Correlation Study on the Spread of Fake News During Pandemic COVID-19 in Malaysia
AU - Nordin, Ahmad Qayyim
AU - Jamil, Norziana
AU - Zain, Zuhaira Muhammad
AU - Ahmad Zawawi, Md Nabil
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The 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.
AB - The 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.
KW - Correlation analysis
KW - COVID-19
KW - Fake news
KW - Impact analysis
KW - Linear regression
KW - Movement Control Order
UR - http://www.scopus.com/inward/record.url?scp=85120529125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120529125&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-90235-3_43
DO - 10.1007/978-3-030-90235-3_43
M3 - Conference contribution
AN - SCOPUS:85120529125
SN - 9783030902346
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 495
EP - 507
BT - Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings
A2 - Badioze Zaman, Halimah
A2 - Smeaton, Alan F.
A2 - Shih, Timothy K.
A2 - Velastin, Sergio
A2 - Terutoshi, Tada
A2 - Jørgensen, Bo Nørregaard
A2 - Aris, Hazleen
A2 - Ibrahim, Nazrita
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Advances in Visual Informatics, IVIC 2021
Y2 - 23 November 2021 through 25 November 2021
ER -