{"url":"/dataset/nela-gt-2019","name":"NELA-GT-2019","full_name":null,"description_markdown":"NELA-GT-2019 is an updated version of the [NELA-GT-2018](nela-gt-2018) dataset. NELA-GT-2019 contains 1.12M news articles from 260 sources collected between January 1st 2019 and December 31st 2019. Just as with NELA-GT-2018, these sources come from a wide range of mainstream news sources and alternative news sources. Included with the dataset are source-level ground truth labels from 7 different assessment sites covering multiple dimensions of veracity.","description_withheld":null,"homepage":"https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/O7FWPO","introduced_date":"2020-03-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/nela-gt-2019-a-large-multi-labelled-news","title":"NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles","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"},{"name":"Misinformation","url":"/task/misinformation","datasets_with_task":"/datasets/task/misinformation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["NELA-GT-2019"],"data_loaders":[],"num_papers_in_archive":5,"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."}