{"url":"/dataset/mm-covid","name":"MM-COVID","full_name":"Multilingual and Multidimensional COVID-19 Fake News Data Repository","description_markdown":"**MM-COVID** is a dataset for fake news detection related to COVID-19. This dataset provides the multilingual fake news and the relevant social context. It contains 3,981 pieces of fake news content and 7,192 trustworthy information from English, Spanish, Portuguese, Hindi, French and Italian, 6 different languages.","description_withheld":null,"homepage":"https://github.com/bigheiniu/X-COVID","introduced_date":"2020-11-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/mm-covid-a-multilingual-and-multimodal-data","title":"MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Fake News Detection","url":"/task/fake-news-detection","datasets_with_task":"/datasets/task/fake-news-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"French","url":"/datasets/language/french"},{"name":"Spanish","url":"/datasets/language/spanish"},{"name":"Italian","url":"/datasets/language/italian"},{"name":"Portuguese","url":"/datasets/language/portuguese"},{"name":"Hindi","url":"/datasets/language/hindi"}],"variants":["MM-COVID"],"data_loaders":[{"repo":"https://github.com/bigheiniu/X-COVID","url":"https://github.com/bigheiniu/X-COVID","frameworks":[]}],"num_papers_in_archive":12,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}