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Intersecting Identities : A Computational Exploration of Gender and Race in The Guardian’s Political Coverage, 2017 – 2022

This study examines The Guardian’s portrayal of intersectional feminism, with a focus on gender and race, analysing how social movements, particularly Black Lives Matter, influence its political coverage. Arising from Kimberlé Crenshaw’s concept of intersectionality, which recognizes the interconnected nature of various forms of oppression and privilege, the research employs a combination of quantitative and qualitative methods to analyse 647 political articles. Quantitative methods, including topic modeling and keyword frequency analysis, provide the structural framework of the thesis. Topic modeling reveals twenty topics, and keyword frequency analysis emphasizes in nine keywords related to intersectional feminism and their prevalence. Qualitative methods, such as collocation analysis and close reading, examine particularly “gender” and “race”. Close reading is used for a deeper examination at every step of the analysis. Despite theme variations, certain subjects like the gender gap and gender identity consistently underscore their enduring significance. Discussions related to Black Lives Matter show spikes in coverage post – 2020, indicating an increased emphasis on diversity and racial justice themes. However, the infrequent use of the term “intersectionality” suggests a potential disparity between the conceptual framework and its direct representation in The Guardian’s political articles.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-524305
Date January 2024
CreatorsSampa, Vasiliki
PublisherUppsala universitet, Institutionen för ABM
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationTheses within Digital Humanities ; 39

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