Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification
Citation:
Susan Leavy, 'Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014, pp 310Download Item:
Leavy TCD THESIS 10564 Detecting gender.pdf (PDF) 158.1Mb
Abstract:
This thesis presents an investigation of whether there is evidence of gender bias in the coverage of politicians in Irish newspapers. Text-analysis techniques including natural language processing and machine learning are used to analyse newspaper content and highlighting differences in the coverage of male and female politicians. These differences are then analysed to identify any evidence of gender bias.
Author: Leavy, Susan
Advisor:
Drew, EileenQualification name:
Doctor of Philosophy (Ph.D.)Publisher:
Trinity College (Dublin, Ireland). School of Computer Science & StatisticsNote:
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