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Cited by 773

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

The silent counter-revolution: Hypotheses on the emergence of extreme right-wing parties in Europe

Ignazi, Piero·1992·European Journal of Political Research

Abstract

This article has two aims. The first attempts to define the ‘extreme right’political family. The three criteria adopted — spatial, historic-ideological, attitudinal-systemic — have led us to identify two types of the extreme right party. One type comprises parties with a fascist imprint (old right-wing parties); the other comprises recently-born parties with no fascist associations, but with a right-wing antisystem attitude (new right-wing parties). The second aim of this article is to explain the recent ‘unexpected’rise of the new right-wing parties. Changes in the cultural domain and in mass beliefs have favoured radicalization and system polarization on one side, and the emergence of attitudes and demands not treated by the established conservative parties on the other one. These two broad changes have set the conditions for the rise of extreme right parties.

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Crossref · 10.1111/j.1475-6765.1992.tb00303.x

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Metadata

Authors
Ignazi, P.
Venue
European Journal of Political Research
Published
1992-07
Volume
22
Issue
1
Pages
3-34
ISSN
  • 0304-4130 (ISSN-L)
  • 1475-6765
OpenAlex
W1861976667
Cited by
773
References
30
FWCI
30.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The silent counter-revolution: Hypotheses on the emergence of extreme right-wing parties in Europe. https://app.cochat.ai/papers/10.1111/j.1475-6765.1992.tb00303.x
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Ignazi, P. (1992). The silent counter-revolution: Hypotheses on the emergence of extreme right-wing parties in Europe. European Journal of Political Research. https://doi.org/10.1111/j.1475-6765.1992.tb00303.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.