What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)

• URL: http://arxiv.org/abs/2508.02540v1
• Date: Mon, 04 Aug 2025 15:47:17 GMT
• Title: What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
• Authors: Anastasia Zhukova, Terry Ruas, Felix Hamborg, Karsten Donnay, Bela Gipp,
• Abstract summary: We propose a methodology for automatically identifying bias by commission, omission, and source selection (COSS) as a joint three-fold objective.<n>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.
• Score: 7.863139688941437
• License: http://creativecommons.org/licenses/by/4.0/
• 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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