The news in black and white: word embeddings quantify racism in South African news

Authors

Mpho Primus (ORCID: https://orcid.org/0000-0002-5270-3619)
Kevin Durrheim (ORCID: https://orcid.org/0000-0003-2926-5953)
Nnaemeka Ohamadike (ORCID: https://orcid.org/0000-0002-8633-8103)

Institutions

University of Johannesburg (ZA)

Publication Details

Journal: EPJ Data Science
Published: 2025-11-27
DOI: https://doi.org/10.1140/epjds/s13688-025-00594-2
Citations: 1
Primary Topic: Computational and Text Analysis Methods
Type: article
Field-Weighted Citation Impact: 5.34

Funders

National Science Foundation
National Research Foundation
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
University of Johannesburg

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article

The news in black and white: word embeddings quantify racism in South African news

Mpho Primus, Kevin Durrheim, Nnaemeka Ohamadike

Nov 27, 2025

1 citations

EPJ Data Science

Computational and Text Analysis Methods

5.34

article

The news in black and white: word embeddings quantify racism in South African news

Mpho Primus, Kevin Durrheim, Nnaemeka Ohamadike

November 27, 2025article en

1 citations

Abstract

No abstract available for this paper.

EPJ Data ScienceVol. 14(1)

University of Johannesburg (ZA)

National Science Foundation, National Research Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, University of Johannesburg

Openalex Percentile: Top 3%

Computational and Text Analysis Methods

5.34

DOI Open Access PDF OpenAlex

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