The Influence Of Misinformation On Twitter During COVID-19

There has been a significant impact on people's behavior due to misinformation, especially during the Coronavirus Disease 2019, which directly affects general health awareness. Many studies showed that misinformation campaigns could be more widespread and damaging because of the advent of social media. Understanding the danger of fake news and misinformation, many algorithms and methods have been proposed to tackle the problem of fake news detection. The aim of this study is to detect fake news on social media, in particular, on Twitter, by using Transformers. Specifically, instead of classifying tweets that contain fake news or not, the BERT model is used to identify tweets into three categories: tweets that contain fake news, neutral tweets, and tweets that debunk fake news.