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This paper presents research uncovering systematic gender bias in therepresentation of political leaders in the media, using artificialintelligence. Newspaper coverage of Irish ministers over a fifteen year periodwas gathered and analysed with natural language processing techniques andmachine learning. Findings demonstrate evidence of gender bias in the portrayalof female politicians, the kind of policies they were associated with and howthey were evaluated in terms of their performance as political leaders. Thispaper also sets out a methodology whereby media content may be analysed on alarge scale utilising techniques from artificial intelligence within atheoretical framework founded in gender theory and feminist linguistics.

Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning