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

MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation