Abstract: The evolution of social media platforms have empowered everyone to access
information easily. Social media users can easily share information with the
rest of the world. This may sometimes encourage spread of fake news, which can
result in undesirable consequences. In this work, we train models which can
identify health news related to COVID-19 pandemic as real or fake. Our models
achieve a high F1-score of 98.64%. Our models achieve second place on the
leaderboard, tailing the first position with a very narrow margin 0.05% points.