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Title: FakeCovid- A Multilingual Cross domain Fact Check Dataset for COVID-19

Type Dataset Shahi, Gautam Kishore, Nandini, Durgesh (2020): FakeCovid- A Multilingual Cross domain Fact Check Dataset for COVID-19. Zenodo. Dataset. https://zenodo.org/record/3965871

Authors: Shahi, Gautam Kishore (University of Duisburg-Essen, Germany) ; Nandini, Durgesh (University of Bamberg, Germany) ;

Links

Summary

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. 

More information

  • DOI: 10.5281/zenodo.3965871
  • Language: en

Subjects

  • Fake News, Coronavirus, COVID19, Fact check, misinformation, multilingual

Dates

  • Publication date: 2020
  • Issued: July 29, 2020

Notes

Other: {"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)"]}

Rights


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Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
823866info:eu-repo/grantAgreement/EC/H2020/823866/10.13039/100010661Crossref Funder IDEuropean Commission

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsDocumentedByhttps://arxiv.org/pdf/2006.11343.pdf
IsVersionOfhttps://doi.org/10.5281/zenodo.3965870
IsPartOfhttps://zenodo.org/communities/zenodo