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# FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19 # Dataset for FakeCovid This github repository corresponds dataset used for our research article titled **FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19**. FakeCovid is the first multilingual cross-domain dataset of 7623 fact-checked news articles for COVID-19, collected from 04/01/2020 to 01/07/2020. We have collected the fact-checked articles from 92 fact-checking websites after obtaining references from Poynter and Snopes. We have manually annotated the collected articles into 11 categories of the fact-checked news according to their content. The ultimately generated dataset is in 40 languages from 105 countries. The work has been accepted in the Workshop on [Cyber Social Threats (CySoc 2020)](http://cysoc.aiisc.ai/) at 14th International Conference on Web and Social Media 2020. #### How do I cite this work? For now, cite [ICWSM Workshop paper](http://workshop-proceedings.icwsm.org/pdf/2020_14.pdf): ``` @article{shahifakecovid, title={FakeCovid-A Multilingual Cross-domain Fact Check News Dataset for COVID-19}, author={Shahi, Gautam Kishore and Nandini, Durgesh} } ``` ## Contact information For help or issues using data, please submit a GitHub issue. For personal communication related to our work, please contact Gautam Kishore Shahi(`gautamshahi16@gmail.com`) and Durgesh Nandini(`durgeshnandini16@yahoo.in`). ## More udpdate For more update on the related publication on the topic of FakeCovid, please visit https://gautamshahi.github.io/FakeCovid/

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