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Uncovering gender bias in newspaper coverage of Irish politicians using machine learning.

This article presents a text-analytic approach to analysing media content for evidence of gender bias. Irish newspaper content is examined using machine learning and natural language processing techniques. Systematic differences in the coverage of male and female politicians are uncovered, and these...

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Publicado en:Digital Scholarship in the Humanities Vol. 34; no. 1; pp. 48 - 64
Autor principal: Leavy, Susan
Formato: Artículo
Publicado: Oxford University Press / USA Apr2019
Materias:
Sex discrimination
Machine learning
Politicians
Journalistic reporting
Research methodology
Natural language processing
Ireland
Acceso en línea:Ver este registro en EBSCOhost