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.

翻译：社交媒体平台的演变使每个人都能够轻松地获取信息。社交媒体用户可以很容易地与世界其他地区分享信息。这有时会鼓励虚假新闻的传播,这可能导致不良后果。在这项工作中,我们培训了能够将与COVID-19大流行有关的健康新闻确定为真实或虚假的模型。我们的模型达到了98.64%的高F1分。我们的模型在领先板上位居第二,尾随第一位置,差值为0.05%。