Representations of Disability in a Large Norwegian News Corpus: A Topic Modeling Approach Informed by Critical Discourse Studies

In this study, we examine how people with disabilities are framed in news media discourse in the early 21st century. Using Norway as a case study, we compiled articles from nationwide newspapers from the years 2005 and 2019 into two corpora comprising 149 million words. We utilized a mixed-method approach that situated Latent Dirichlet Allocation (LDA) topic models in a critical discourse studies (CDS) framework. In both years, topics related to health, crime, paralympic sports, and politics/rights/accessibility predominated. However, we also found a marked shift over the time period toward a ‘personalization’ frame, where news media discourse foregrounded individual disabled people. Our study suggests that an emphasis on personalized stories rather than structural issues risk reproducing the ‘heroic/tragic’ binary of stereotypical representation.

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Publication Details

Journal
Scandinavian Journal of Disability Research
Published
2025-05-14
DOI
https://doi.org/10.16993/sjdr.1248
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34
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article

Representations of Disability in a Large Norwegian News Corpus: A Topic Modeling Approach Informed by Critical Discourse Studies

Jan Grue, Håvard Tvedt Bakka
1 citations
Scandinavian Journal of Disability Research
Computational and Text Analysis Methods
5.34
article

Representations of Disability in a Large Norwegian News Corpus: A Topic Modeling Approach Informed by Critical Discourse Studies

Jan Grue, Håvard Tvedt Bakka
article en
1 citations

Abstract

In this study, we examine how people with disabilities are framed in news media discourse in the early 21st century. Using Norway as a case study, we compiled articles from nationwide newspapers from the years 2005 and 2019 into two corpora comprising 149 million words. We utilized a mixed-method approach that situated Latent Dirichlet Allocation (LDA) topic models in a critical discourse studies (CDS) framework. In both years, topics related to health, crime, paralympic sports, and politics/rights/accessibility predominated. However, we also found a marked shift over the time period toward a ‘personalization’ frame, where news media discourse foregrounded individual disabled people. Our study suggests that an emphasis on personalized stories rather than structural issues risk reproducing the ‘heroic/tragic’ binary of stereotypical representation.

Scandinavian Journal of Disability ResearchVol. 27(1)
University of Oslo (NO)
Openalex Percentile: Top 6%
Computational and Text Analysis Methods
5.34
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