{"url":"/dataset/newsmediabias","name":"Newsmediabias","full_name":"Navigating News Narratives: A Media Bias Analysis Dataset","description_markdown":"This is a dataset for news media bias covering different dimensions of the biases: political, hate speech, political, toxicity, sexism, ageism, gender identity, gender discrimination, race/ethnicity, climate change, occupation, spirituality, which makes it a unique contribution","description_withheld":null,"homepage":"https://figshare.com/articles/dataset/news-media-bias_data_json/24422122","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/?ref=chooser-v1"},"modalities":[],"tasks":[],"languages":[],"variants":["Newsmediabias"],"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."}