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arXiv · 2508.02540

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
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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.

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Anastasia Zhukova, Terry Ruas, Felix Hamborg, Karsten Donnay, Bela Gipp. 2025-08-04. What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS). https://doi.org/10.1109/jcdl57899.2023.00050

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