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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Bibliographic Details

Published in:	Digital Scholarship in the Humanities Vol. 34; no. 1; pp. 48 - 64
Main Author:	Leavy, Susan
Format:	Article
Published:	Oxford University Press / USA Apr2019
Subjects:	Sex discrimination Machine learning Politicians Journalistic reporting Research methodology Natural language processing Ireland
Online Access:	View this record in EBSCOhost