{"url":"/dataset/covaxlies-v2","name":"CoVaxLies v2","full_name":null,"description_markdown":"CoVaxLies v2 includes 47 Misinformation Targets (MisTs) found on Twitter about the COVID-19 vaccines. Language experts annotated tweets as Relevant or Not Relevant, and then further annotated Relevant tweets with Stance towards each MisT. This collection is a first step in providing large-scale resources for misinformation detection and misinformation stance identification.","description_withheld":null,"homepage":"https://github.com/Supermaxman/vaccine-lies/tree/master/covid19","introduced_date":"2022-02-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/identifying-the-adoption-or-rejection-of","title":"Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse","first_author":"Maxwell Weinzierl","url":null},"license":{"name":"Apache License 2.0","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Stance Detection","url":"/task/stance-detection","datasets_with_task":"/datasets/task/stance-detection"},{"name":"Stance Classification","url":"/task/stance-classification","datasets_with_task":"/datasets/task/stance-classification"},{"name":"Misinformation","url":"/task/misinformation","datasets_with_task":"/datasets/task/misinformation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CoVaxLies v2"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}