Information credibility is a critical issue in social media. People use social media to get information on different topics. Social media is a place that people shared and exchange infor- mation and use social media as a source of information on different topics. However, informa- tion credibility becomes an issue in social media, especially with the Coronavirus Disease 2019 (COVID-19) epidemic. Misinformation has increased, which affects on peoples health, assessing the credibility of the information becomes necessary. In this project, we proposed a supervised machine learning model to assess information credibility in social media using a combination of content-based features and source-based features.