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

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Zhukova, Anastasia, Ruas, Terry, Hamborg, Felix, Donnay, Karsten, Gipp, Bela
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866908477969924096
author Zhukova, Anastasia
Ruas, Terry
Hamborg, Felix
Donnay, Karsten
Gipp, Bela
author_facet Zhukova, Anastasia
Ruas, Terry
Hamborg, Felix
Donnay, Karsten
Gipp, Bela
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_02540
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle 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
Computation and Language
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.
title What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
topic Computation and Language
url https://arxiv.org/abs/2508.02540