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Political Psychology
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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In Politics We Trust…or Not? Trusting and Distrusting Demonstrators Compared

Authors: van Stekelenburg, Jacquelien; Klandermans, Bert;

In Politics We Trust…or Not? Trusting and Distrusting Demonstrators Compared

Abstract

This article sheds light on the debate regarding political trust and protest activity. The debate boils down to the question whether trust in politics is positively or negatively related to protest activity. We exploit a dataset encompassing data on about 9,000 demonstrators spread over seven European countries. These demonstrators' trust in their parliaments varies widely, ranging from trustworthy capable, to corrupt incapable. We examine the diverging sociodemographic profiles and motivational dynamics that turn distrusting and trusting citizens into demonstrators. We hypothesize and show that distrusting demonstrators turn their back to institutionalized politics; for them, demonstratingsubstitutesthe party politics they distrust. For trusting demonstrators, demonstratingsupplementsparty politics. Trusting and distrusting demonstrators also differ considerably in terms of motivation. Distrusting demonstrators are stronger motivated to demonstrate than trusting demonstrators. Moreover, while political cynicism amplifies the motivation of distrusting demonstrators, it suppresses the motivation of trusting demonstrators. We conclude that the question to be answered is not so much whether people who engage in protest activity trust or distrust their political elites, but rather who the trusting and distrusting protesters are and why they protest.

Country
Netherlands
Keywords

collective action, SDG 16 - Peace, demonstrations, efficacy, political trust, cynicism, Justice and Strong Institutions

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
hybrid