Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives

Understand

During the COVID-19 pandemic, social media platforms were ideal for communicating due to social isolation and quarantine.

• Also, it was the primary source of misinformation dissemination on a large scale, referred to as the infodemic.
• Therefore, automatic debunking misinformation is a crucial problem.
• To tackle this problem, we present two COVID-19 related misinformation datasets on Twitter and propose a misinformation detection system comprising network-based and content-based processes based on machine learning algorithms and NLP techniques.