{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dpgmedia2019-a-dutch-news-dataset-for","title":"DpgMedia2019: A Dutch News Dataset for Partisanship Detection","arxiv_id":"1908.02322","date":"2019-08-06","proceeding":null,"authors":["Chia-Lun Yeh","Babak Loni","Mariëlle Hendriks","Henrike Reinhardt","Anne Schuth"],"abstract":"We present a new Dutch news dataset with labeled partisanship. The dataset contains more than 100K articles that are labeled on the publisher level and 776 articles that were crowdsourced using an internal survey platform and labeled on the article level. In this paper, we document our original motivation, the collection and annotation process, limitations, and applications.","url_abs":"https://arxiv.org/abs/1908.02322v1","url_pdf":"https://arxiv.org/pdf/1908.02322v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dpgmedia2019-a-dutch-news-dataset-for","repo_url":"https://github.com/dpgmedia/partisan-news2019","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[{"slug":"dpgmedia2019","name":"DpgMedia2019","full_name":null}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}