  The COVID-19 epidemic is considered as the global health crisis of the whole
society and the greatest challenge mankind faced since World War Two.
Unfortunately, the fake news about COVID-19 is spreading as fast as the virus
itself. The incorrect health measurements, anxiety, and hate speeches will have
bad consequences on people's physical health, as well as their mental health in
the whole world. To help better combat the COVID-19 fake news, we propose a new
fake news detection dataset MM-COVID(Multilingual and Multidimensional COVID-19
Fake News Data Repository). This dataset provides the multilingual fake news
and the relevant social context. We collect 3981 pieces of fake news content
and 7192 trustworthy information from English, Spanish, Portuguese, Hindi,
French and Italian, 6 different languages. We present a detailed and
exploratory analysis of MM-COVID from different perspectives and demonstrate
the utility of MM-COVID in several potential applications of COVID-19 fake news
study on multilingual and social media.
