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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. We ultimately generated dataset is in 40 languages from 105 countries.
{"references": ["Shahi, Gautam Kishore, and Durgesh Nandini. \"FakeCovid--A Multilingual Cross-domain Fact Check News Dataset for COVID-19.\" arXiv preprint arXiv:2006.11343 (2020)"]}
Coronavirus, Fake News, COVID19, Fact check, multilingual, misinformation
Coronavirus, Fake News, COVID19, Fact check, multilingual, misinformation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 627 | |
| downloads | 75 |

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