CoronaCheck: Computational Fact Checking for Statistical Coronavirus Claims

Verify statistical claims about the coronavirus spread and effects on data from the official sources.

Here are some examples:

The death rate in Italy is much higher than in France.

The total number of confirmed cases for Coronavirus in Brazil remained constant from January to February.

There are 800 cases in China.

Data sources: thanks to JHU, data is collected daily from WHO, CDC, ECDC, NHC, DXY and local media reports.

Coronavirus disease (COVID-19) outbreak is a global emergency. Our focus is on the automatic verification of statistical claims to fight misinformation. There are several other initiatives that focus on other methods, such as the listing of websites reporting incorrect information, using human fact checkers to verify claims,and exploiting a database of previously checked claims.

The fact-checking system is a joint effort from the teams of Prof. Papotti at EURECOM and of Prof. Trummer at Cornell University. The technical paper describing the approach is available (.bib).

A RESTful API is now available, contact us to get a key.

You can find the press releases at the following links: English, French

Terms of Use: This Website and its contents herein, including all data, mapping, and analysis is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. EURECOM and Cornell hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.