{"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/utilizing-a-transparency-driven-environment","title":"Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History","arxiv_id":"1810.00968","date":"2018-10-01","proceeding":null,"authors":["Aysenur Bilgin","Laura Hollink","Jacco van Ossenbruggen","Erik Tjong Kim Sang","Kim Smeenk","Frank Harbers","Marcel Broersma"],"abstract":"With the growing abundance of unlabeled data in real-world tasks, researchers\nhave to rely on the predictions given by black-boxed computational models.\nHowever, it is an often neglected fact that these models may be scoring high on\naccuracy for the wrong reasons. In this paper, we present a practical impact\nanalysis of enabling model transparency by various presentation forms. For this\npurpose, we developed an environment that empowers non-computer scientists to\nbecome practicing data scientists in their own research field. We demonstrate\nthe gradually increasing understanding of journalism historians through a\nreal-world use case study on automatic genre classification of newspaper\narticles. This study is a first step towards trusted usage of machine learning\npipelines in a responsible way.","url_abs":"http://arxiv.org/abs/1810.00968v1","url_pdf":"http://arxiv.org/pdf/1810.00968v1.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":"utilizing-a-transparency-driven-environment","repo_url":"https://github.com/newsgac/platform","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"genre-classification","task_name":"Genre classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}