COVID-19 Infodemic in Malaysia: Conceptualizing Fake News for Detection

Table 2

Summarized methodology of the study.

Objective of study	Machine learning algorithm	Expected outcome
To identify the COVID-19 information in Malaysia whether it is real or fake	Decision tree; Logistic regression; Random forest; Linear support vector machines; Naïve Bayes; Gradient boosting classifier	The most suitable algorithm model for COVID-19 fake news detection will be determined by comparing the model evaluation metrics, such as accuracy, precision, recall, and F1-score