Construction of Datasets and Statistical Analysis for Classifying Fake/Real News About Coronavirus

In this work we introduce datasets, an official Arabic language COVID- 19 in Facebook dataset for fake / real news detection. The study methodology module that was utilized to create and analyze the datasets is described in this publication. Additionally, it offers statistical techniques for describing and presenting datasets for all versions, including V0, V1, V2, and V3. This report contains the preprocessed, collected, and analyzed datasets to give a comprehensive idea of our experimental work. Additionally, this study describes the process of applying the algorithms employed in this investigation. This research's chosen algorithms demonstrate how to produce significant outcomes while working with text mining. We aim to support more of research projects which could be tackled using our datasets for misinformation detection.