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Our opinions and views of life can be shaped by how we perceive the opinionsof others on social media like Facebook. This dependence has increased duringCOVID-19 periods when we have fewer means to connect with others. However, fakenews related to COVID-19 has become a significant problem on Facebook. Bengaliis the seventh most spoken language worldwide, yet we are aware of no previousresearch that studied the prevalence of COVID-19 related fake news in Bengalion Facebook. In this paper, we develop machine learning models to detect fakenews in Bengali automatically. The best performing model is BERT, with anF1-score of 0.97. We apply BERT on all Facebook Bengali posts related toCOVID-19. We find 10 topics in the COVID-19 Bengali fake news grouped intothree categories: System (e.g., medical system), belief (e.g., religiousrituals), and social (e.g., scientific awareness).

Are You Misinformed? A Study of Covid-Related Fake News in Bengali on Facebook