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The Gendered Debate: Do Men and Women Communicate Differently in the House of Commons?

Published online by Cambridge University Press:  28 July 2020

Lotte Hargrave
Affiliation:
University College London
Tone Langengen
Affiliation:
University College London
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Abstract

It has long been claimed in the gender and politics literature that male and female legislators have different communication styles. The evidence for this claim has come mostly from interviews with legislators as the key informants on gendered differences. We contribute to this literature in two ways: First, we empirically examine speeches by Members of Parliament to establish whether gendered differences are observable in parliamentary debates. Second, we advance existing measurement approaches by testing for multiple dimensions of communication style, providing a more systematic approach to studying gendered speech behavior. Communication style is examined through a content analysis of almost 200 speeches in three parliamentary sessions of the British House of Commons. We find compelling evidence for differences in communication style: women evidence arguments with personal experience, discuss policies in a concrete way, and are less adversarial than men. Our findings have important implications for how political communication styles might improve public engagement with politicians, offer a different focus to the discussion, and improve democratic legitimacy.

Information

Type
Research Article
Copyright
Copyright © The Women and Politics Research Section of the American Political Science Association, 2020
Figure 0

Table 1. Vote shares and seat composition, 1997, 2005, and 2015 general elections

Figure 1

Table 2. Coding scheme and textual examples

Figure 2

Table 3. Differences in means between men and women for each stylistic category

Figure 3

Figure 1. Results for bivariate, multivariate, and fixed-effects OLS regression models, female = 1 (coefficients, standard errors and confidence intervals).

Figure 4

Figure 2. Effect of female MP, fixed-effects OLS regression models, female = 1 (coefficients, standards errors and confidence intervals).

Supplementary material: File

Hargrave and Langengen supplementary material

Appendices A-C

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