S. Almatarneh, Pablo Gamallo, Bassam ALshargabi, Y. Al-Khassawneh, Raed Alzubi
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Comparing Traditional Machine Learning Methods for COVID-19 Fake News
This article describes some supervised classification techniques for COVID-19 fake news detection in English, where the sources of data are annotated posts from various social media platforms such as Twitter, Facebook, or Instagram. The main objective is to examine the performance of traditional machine learning techniques of COVID-19 fake news detection. In this Situation, models trained with Support Vector Machine and Naïve Bayes algorithms outperformed all other strategies.
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