{"url":"/dataset/hyperpartisan","name":"Hyperpartisan News Detection","full_name":null,"description_markdown":"Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person.\r\n\r\nThere are two parts:\r\n\r\n* byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed.\r\n* bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com.","description_withheld":null,"homepage":"https://pan.webis.de/semeval19/semeval19-web/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Document Classification","url":"/task/document-classification","datasets_with_task":"/datasets/task/document-classification"}],"languages":[],"variants":["Hyperpartisan News Detection"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/document-classification-on-hyperpartisan-news","task":"Document Classification","dataset_variant":"Hyperpartisan News Detection","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"ChuLo","paper":"/paper/chulo-chunk-level-key-information","metrics":{"Accuracy":"95.38"},"code_links":[{"title":"adlnlp/Chulo","url":"https://github.com/adlnlp/Chulo"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/chulo-chunk-level-key-information","title":"ChuLo: Chunk-Level Key Information Representation for Long Document Processing","date":"2024-10-14","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}