What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
Anastasia Zhukova, Terry Ruas, Felix Hamborg, Karsten Donnay, Bela Gipp
8/4/2025
cs.CL
No confident code implementation found for this paper.
Abstract
In a world overwhelmed with news, determining which information comes from reliable sources or how neutral is the reported information in the news articles poses a challenge to news readers. In this paper, we propose a methodology for automatically identifying bias by commission, omission, and source selection (COSS) as a joint three-fold objective, as opposed to the previous work separately addressing these types of bias. In a pipeline concept, we describe the goals and tasks of its steps toward bias identification and provide an example of a visualization that leverages the extracted features and patterns of text reuse.
