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PRRP identity and sense of understanding for citizens who engage in political violence

Published online by Cambridge University Press:  12 August 2026

Fernando Feitosa*
Affiliation:
School of Government and International Relations, Griffith University, Australia
Bjarn Eck
Affiliation:
Centre d’Étude de la Vie Politique, Université Libre de Bruxelles, Belgium
Jean-Benoit Pilet
Affiliation:
Centre d’Étude de la Vie Politique, Université Libre de Bruxelles, Belgium
*
Corresponding author: Fernando Feitosa; Email: f.feitosa@griffith.edu.au
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Abstract

This research note extends existing knowledge on anti-pluralism among identifiers of a populist radical right party (PRRP) by investigating their sense of understanding for citizens who engage in two key forms of political violence: threatening and spreading false information about political opponents. Building on methodological advances in political science research, we estimate a series of Bayesian zero-inflated regression models using original Flemish data (N = 2,963). Results reveal a positive correlation between PRRP identity and sense of understanding. Results further indicate that this correlation diminishes with higher levels of education in the case of spreading false information, but remains equally strong in the case of threatening. This research note offers new insights into anti-pluralism among PRRP identifiers.

Information

Type
Research Note
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, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Figure 1. Bayesian zero-inflated regressions of sense of understanding for citizens who threaten or spread false information on PRRP identity.Note: Since Bayesian zero-inflated regression models rely on logit transformations of the outcome variables, the reported coefficients are expressed in log-odds. Values in square brackets correspond to 95% confidence intervals. For the results in tabular form, see Table H1.

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