非表示:
キーワード:
Women in politics, Text analysis, Legislative politics, Machine learning
要旨:
Women in male-dominated organizations often must adopt more stereotypical masculine traits to advance within those hierarchies. While politics, historically male-dominated, should induce women to blend in, increasing numbers of women in parliaments may give women the opportunity to stand out by not adopting masculine style. This paper investigates how these contradictory incentives influence women Members of Parliament (MPs) in 24 democracies between 1987 and 2022, applying machine learning to 6.8 million parliamentary speeches to measure how feminine is their speaking style. Findings indicate a socialization effect, whereby women adopt a more masculine style the longer they stay in office, even after controlling for their speeches’ topics. The effect is strongest for women in socially progressive parties. This research highlights the role of parliaments as gendered workplaces which still lead women to adapt to the male norm, and helps us understand the incentives that shape how women represent women in parliament.
