Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking

Understand

The rapid advancement of technology in online communication via social media platforms has led to a prolific rise in the spread of misinformation and fake news.

• Fake news is especially rampant in the current COVID-19 pandemic, leading to people believing in false and potentially harmful claims and stories.
• Detecting fake news quickly can alleviate the spread of panic, chaos and potential health hazards.
• We developed a two stage automated pipeline for COVID-19 fake news detection using state of the art machine learning models for natural language processing.