DpgMedia2019: A Dutch News Dataset for Partisanship Detection
This provides a resource for researchers studying media bias in Dutch news, but it is incremental as it focuses on dataset creation without new methods or results.
The authors tackled the problem of partisanship detection in Dutch news by creating a new dataset with over 100K articles labeled at the publisher level and 776 articles labeled at the article level, documenting its collection and annotation.
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.