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Space invaders and norm-politicians: how the media represent the intersectional identities of Members of Parliament

Published online by Cambridge University Press:  15 August 2022

Zahra Runderkamp*
Affiliation:
Department of Political Science, University of Amsterdam, Amsterdam, The Netherlands
Daphne van der Pas
Affiliation:
Department of Political Science, University of Amsterdam, Amsterdam, The Netherlands
Anne Louise Schotel
Affiliation:
Department of Political Science, University of Amsterdam, Amsterdam, The Netherlands
Liza Mügge
Affiliation:
Department of Political Science, University of Amsterdam, Amsterdam, The Netherlands
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Abstract

How do the media describe the intersectional identities of elected politicians? Our study focuses on parliamentarians in the Netherlands who fall outside the prevailing norm in politics: women and female and male ethnic minorities. Drawing on 2,783 newspaper articles published between 1994 and 2012 and matched samples, we find that the media structurally emphasize the identities of all parliamentarians who are not white men. Women politicians are more often described in terms of gender, ethnic minorities in terms of ethnicity and Muslim politicians in terms of religion. Ethnic majority men, meanwhile, are most often described by their political ideology. We find that this works already for one minority identity, as well as multiple identities. By continuously highlighting the identities of politicians that diverge from the norm, the media, we argue, paint pictures of women and ethnic minority politicians as different and out of place.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Table 1 Frequency of codes

Figure 1

Figure 1. Predicted number of social identity markers per 100 articles.Note: OLS regression estimates with clustered standard errors, controlling for parliamentary term, year the MP was first elected, average list position, age, education, year, and party. Full regression tables in Appendix 4.

Figure 2

Figure 2. Predicted number of gender and relationship markers per 100 articles.Note: OLS regression estimates with clustered standard errors, controlling for parliamentary term, year the MP was first elected, average list position, age, education, year, and party. Full regression tables in Appendix 4.

Figure 3

Figure 3. Predicted number of ethnicity and nationality markers per 100 articles.Note: OLS regression estimates with clustered standard errors, controlling for parliamentary term, year the MP was first elected, average list position, age, education, year, and party. Full regression tables in Appendix 4.

Figure 4

Figure 4. Predicted number of religion markers per 100 articles.Note: OLS regression estimates with clustered standard errors, controlling for parliamentary term, year the MP was first elected, average list position, age, education, year, and party. Full regression tables in Appendix 4.

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