Replication Data for: Blending In or Standing Out? Gendered Political Communication in 24 Democracies (doi:10.7910/DVN/EAKKZT)

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Replication Data for: Blending In or Standing Out? Gendered Political Communication in 24 Democracies

doi:10.7910/DVN/EAKKZT

Harvard Dataverse

2024-03-19

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Castanho Silva, Bruno; Pullan, Danielle; Wäckerle, Jens, 2024, "Replication Data for: Blending In or Standing Out? Gendered Political Communication in 24 Democracies", https://doi.org/10.7910/DVN/EAKKZT, Harvard Dataverse, V1

Replication Data for: Blending In or Standing Out? Gendered Political Communication in 24 Democracies

doi:10.7910/DVN/EAKKZT

Castanho Silva, Bruno (Freie Universität Berlin)

Pullan, Danielle (University of Cologne and Max Planck Institute for the Study of Societies)

Wäckerle, Jens (University of Cologne)

Castanho Silva, Bruno

Harvard Dataverse

Castanho Silva, Bruno

Castanho Silva, Bruno

2023-10-11

https://doi.org/10.7910/DVN/EAKKZT

Social Sciences, Women in politics, Text analysis, Legislative politics, Machine learning

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.

This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://osf.io/tvyxz/wiki/home/" target="_blank">Center for Open Science</a>.<br></br> <img src="https://odum.unc.edu/files/2020/03/OpenMaterials_PR-1.png" alt="Open Materials Badge" height="77" width="80">

Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Sandra Grahn, Allen Hicken, Katrin Kinzelbach, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Anja Neundorf, Pamela Paxton, Daniel Pemstein, Oskar Rydén, Johannes von Römer, Brigi]e Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Luca UberF, Yi-Fng Wang, Tore Wig, and Daniel Zibla]. 2023. "VDem Codebook v13" Varieties of Democracy (V-Dem) Project. URL: h]ps://vdem. net/data/the-v-dem-dataset/

<br></br> Lindberg, Staffan I., Nils Düpont, Masaaki Higashijima, Yaman Berker Kavasoglu, Kyle L. Marquardt, Michael Bernhard, Holger Döring, Allen Hicken, Melis Laebens, Juraj Medzihorsky, Anja Neundorf, Ora John Reuter, Saskia Ruth–Lovell, Keith R. Weghorst, Nina Wiesehomeier, Joseph Wright, Nazifa Alizada, Paul Bederke, Lisa Gastaldi, Sandra Grahn, Garry Hindle, Nina Ilchenko, Johannes von Römer, Steven Wilson, Daniel Pemstein, and Brigi]e Seim. 2022. “Codebook Varieties of Party Identity and Organization (V–Party) V2”. Varieties of Democracy (V–Dem) Project. URL: h]ps://doi.org/10.23696/vpartydsv2

<br></br> Pennebaker, James W., Ryan L. Boyd, Kayla Jordan and Kate Blackburn. 2015. The development and psychometric properties of LIWC2015. Austin, TX: University of Texas at Austin.

The <i>American Journal of Political Science</i> and the Odum Institute for Research in Social Science are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

Castanho Silva, Bruno, Danielle Pullan, and Jens Wäckerle. [date]. “Blending In or Standing Out? Gendered Political Communication in 24 Democracies.” <i>American Journal of Political Science</i> Forthcoming. <a href="http://ajps.org/" target="_blank">http://ajps.org/</a>

Castanho Silva, Bruno, Danielle Pullan, and Jens Wäckerle. [date]. “Blending In or Standing Out? Gendered Political Communication in 24 Democracies.” <i>American Journal of Political Science</i> Forthcoming. <a href="http://ajps.org/" target="_blank">http://ajps.org/</a>

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