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


Zhukova, Anastasia; Ruas, Terry; Hamborg, Felix; Donnay, Karsten; Gipp, Bela (2023). What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS). In: 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Santa Fe, NM, USA, 26 June 2023 - 30 June 2023.

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.

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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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Political Science
08 Research Priority Programs > Digital Society Initiative
Dewey Decimal Classification:320 Political science
Uncontrolled Keywords:new analysis, media bias, text alignment, text reuse, paraphrase identification
Language:English
Event End Date:30 June 2023
Deposited On:10 Oct 2023 15:59
Last Modified:30 Mar 2024 04:45
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/jcdl57899.2023.00050