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Culture Trumps Class and Place: How the Populist Radical Right Thrives on Sociocultural Conflicts in Western Europe

Published online by Cambridge University Press:  14 September 2026

Mirko Crulli*
Affiliation:
Department of Political Science, LUISS University, Rome, Italy Department of Political Science, Université Libre de Bruxelles, Brussels, Belgium
Gianluca Piccolino
Affiliation:
Dipartimento di Scienze Politiche e Sociali, University of Florence, Italy
*
Corresponding author: Mirko Crulli; Email: mcrulli@luiss.it
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Abstract

Using original survey data from seven Western European countries, this article investigates which social conflicts populist radical right parties (PRRPs) represent. Methodologically, it innovates by measuring individuals’ positions within conflicts combined with the importance they attach to them, capturing both attitudinal alignment and salience. The analysis tests whether traditional cleavages or new conflicts related to globalisation and cultural value change better explain PRRP voting. Findings show that PRRPs predominantly represent new conflicts – individuals opposing cosmopolitanism, LGBTQ+ rights and environmental sustainability – rather than class or territorial divides. While socio-structural traits such as being a production worker or rural resident predict PRRP voting, supporting these groups does not. This decoupling of structure and conflict positions suggests working-class and rural voters are motivated more by culturally reframed grievances than by class- or place-based solidarities. These results highlight the weak link between classic cleavages and PRRP voting, underscoring the centrality of cultural demarcation in today’s political conflict.

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Type
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 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Government and Opposition Ltd.
Figure 0

Table 1. Summary of Research HypothesesTable 1 long description.

Figure 1

Table 2. Survey Items Used to Assess the Individual’s Position in the Traditionalism–LGBTQ+ Conflict and the Importance Assigned to the Same ConflictTable 2 long description.

Figure 2

Table 3. List of PRRPs in the Survey and Distribution of Voting Intention for ThemTable 1 long description.

Figure 3

Figure 1. Conflict Positions and Intention to Vote for PRRPs in Western EuropeTable 1 long description.

Notes: AMEs of eight separate logistic regressions with country-fixed effects. See Table A2 in the Supplementary material for full model output.
Figure 4

Figure 2. Conflict Positions and Intention to Vote for PRRPs: Country-by-Country ModelsFigure 2 long description.

Notes: AMEs of 56 separate logistic regressions. Control variables (as in Figure 1) not shown. See Tables A3–A9 in the Supplementary material for the complete output.
Figure 5

Table 4. Outcome of Research HypothesesTable 4 long description.

Figure 6

Figure 3. Predicted Probabilities of PRRP Voting for Production Workers across Class, Ethnonationalism, Traditionalism and Environmental Conflict DimensionsFigure 3 long description.

Notes: Predicted probabilities are derived from four separate logistic regression models. In each model, the focal predictor is an interaction between the respondent’s occupation and their position on the respective conflict dimension, combined with the salience assigned to that conflict. Control variables are the same as in Figure 1. See Table A10 in the Supplementary material for full model outputs.
Figure 7

Figure 4. Predicted Probabilities of PRRP Voting for Rural Dwellers across Urban–Rural, Ethnonationalism, Traditionalism and Environmental Conflict DimensionsFigure 4 long description.

Notes: Predicted probabilities are derived from four separate logistic regression models. In each model, the focal predictor is an interaction between the respondent’s residential category and their position on the respective conflict dimension, combined with the salience assigned to that conflict. Control variables are the same as in Figure 1. See Table A11 in the Supplementary material for full model outputs.
Figure 8

Figure 5. Interactions between Conflict Positions and Salience in Predicting Intention to Vote for PRRPsFigure 5 long description.

Notes: Marginal effects are derived from eight separate logistic regression models. In each model, the focal predictor is an interaction between the respondent’s position and salience on the respective conflict dimension. Control variables are the same as in Figure 1. See Table A14 in the Supplementary material for full model outputs.
Supplementary material: File

Crulli and Piccolino supplementary material

Crulli and Piccolino supplementary material
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