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‘Left behind’ and an undemocratic mind? The link between perceived marginalization and democratic orientations

Published online by Cambridge University Press:  18 June 2026

Vanessa Schwaiger*
Affiliation:
University of Stuttgart, Germany
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Abstract

The ‘left behind’, commonly defined by socio-economic factors such as rural residence, working-class status, and subjective perceptions of marginalization, have been repeatedly linked to support for populism and authoritarianism. However, it remains unclear whether the left behind are truly turning away from democracy and whether and how perceived marginalization (understood as a lack of recognition in different areas) is linked to fundamental democratic orientations (democratic attitudes, understandings, and governance preferences) that go beyond support for populist parties or specific policies. Using data from about 2,500 respondents in both the United States and Germany, I investigate how perceived societal marginalization is related to democratic orientations while accounting for traditional socio-economic factors. The results show that a lack of cultural recognition (feeling that one’s values are becoming less important or that one’s group cannot freely express its opinion in public) is associated with lower democratic support, an authoritarian and majoritarian understanding of politics, and higher support for authoritarian governance. Conversely, feeling unseen and unheard by politicians is associated with dissatisfaction with democracy and lower support for representative governance but also with high democratic support, a liberal understanding of politics, and support for citizen-centered decision-making in the form of referendums. These findings challenge simplistic portrayals of the left behind as inherently undemocratic. They also highlight the need for nuanced approaches to engage the left behind based on the dimensions in which they experience a lack of recognition to ensure democratic stability.

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, 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

Table 1. Operationalization of societal recognition

Figure 1

Table 2. Democratic orientationsTable 2 long description.

Figure 2

Figure 1. Figure 1 long description.Mean value comparisons – socio-economic factors and lack of recognition. Germany.Note: Differences in perceived lack of recognition across socio-economic groups in the German sample. Dots represent means. All differences are statistically significant at p < 0.05, except for means shown in light grey.

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Figure 2. Figure 2 long description.Mean value comparisons – socio-economic factors and lack of recognition. US.Note: Differences in perceived lack of recognition across socio-economic groups in the US sample. Dots represent means. All differences are statistically significant at p < 0.05, except for means shown in light grey.

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Figure 3. Figure 3 long description.Regression analyses – democratic satisfaction and democratic relevance.Note: Coefficient plots for two linear regression models with democratic satisfaction and democratic relevance as dependent variables. Shown are point estimates of coefficients with 95% confidence intervals. LoCR = Lack of Cultural Recognition; LoER = Lack of Economic Recognition; LoPR = Lack of Political Recognition. All regression analyses include ideology, region, education, gender, and age as covariates.

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Figure 4. Figure 4 long description.Regression analyses – understandings of politics.Note: Coefficient plots for linear regression models with understandings of politics (liberal, authoritarian, majoritarian, and social democratic) as dependent variables. Shown are point estimates of coefficients with 95% confidence intervals. LoCR = Lack of Cultural Recognition; LoER = Lack of Economic Recognition; LoPR = Lack of Political Recognition. All regression analyses include ideology, region, education, gender, and age as covariates.

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Figure 5. Figure 5 long description.Regression analyses – governance preferences.Note: Coefficient plots for linear regression models with governance preferences (representative, authoritarian, direct democratic, lottocratic, and technocratic) as dependent variables. Shown are point estimates of coefficients with 95% confidence intervals. LoCR = Lack of Cultural Recognition; LoER = Lack of Economic Recognition; LoPR = Lack of Political Recognition. All regression analyses include ideology, region, education, gender, and age as covariates.

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