{"url":"/dataset/covmis-stance","name":"COVMis-Stance","full_name":null,"description_markdown":"**COVMis-Stance** is a stance detection dataset for COVID-19 misinformation. It consists of fake news and claims related to COVID. Fake news was collected from articles fact-checking sites, and fake claims were from the WHO official Twitter. It contains 2631 tweets annotated for stance towards 111 COVID19 misinformation items.","description_withheld":null,"homepage":"https://github.com/yanfangh/covid-rumor-stance","introduced_date":"2022-04-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-covmis-stance-dataset-stance-detection-on","title":"The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation","first_author":"Yanfang Hou","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Stance Detection","url":"/task/stance-detection","datasets_with_task":"/datasets/task/stance-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["COVMis-Stance"],"data_loaders":[],"num_papers_in_archive":1,"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."}