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When memory meets anxiety: Collective nostalgia (civic- and homogeneity-focused) and collective angst shape strong leader support and voting behaviour

Published online by Cambridge University Press:  24 April 2026

Michael Wohl*
Affiliation:
Psychology, Carleton University, Canada
Nassim Tabri
Affiliation:
Psychology, Carleton University, Canada
Anna Stefaniak
Affiliation:
University of St Andrews, UK
Nick Ungson
Affiliation:
Susquehanna University, USA
Dominic Packer
Affiliation:
Lehigh University, USA
*
Corresponding author: Michael Wohl; Email: michael.wohl@carleton.ca

Abstract

Elections are moments when nations confront uncertainty about their future and re-examine their past. The present research investigated how two temporal, group-based emotions jointly shape political preferences and behaviour: collective nostalgia (longing for the group’s past) and collective angst (concern for the group’s future). We focused on the 2024 United States federal election, examining how civic-focused nostalgia (longing for civility and institutional trust) and homogeneity-focused nostalgia (longing for cultural and moral uniformity), together with collective angst, predicted three outcomes: support for strong leadership, voting intentions, and actual voting behaviour. Participants (N = 282) completed measures of these constructs pre-election (Time 1), with voting behaviour assessed post-election (Time 2). Results revealed that both civic- and homogeneity-focused nostalgia were associated with greater general support for strong leadership, but collective angst only predicted such support when civic nostalgia was low. Homogeneity-focused nostalgia robustly predicted Trump voting intentions and behaviour, whereas civic nostalgia predicted support for Harris. Collective angst interacted with homogeneity nostalgia to amplify pro-Trump voting, suggesting that anxiety about the group’s future magnifies the political consequences of longing for a homogeneous past. These findings illuminate how emotional orientations towards the past and future jointly guide democratic decision-making.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. Descriptive statistics and correlations between all measured variables

Figure 1

Table 2. Results of moderated regression analysis predicting pre-election strong leader support

Figure 2

Figure 1. Simple slopes displaying two-way interaction for predicted strong leader support. Note: Expected level of agreement with the statement ‘Our country needs a strong leader right now’ as a function of civic nostalgia at low (−1 SD) and high (+1 SD) levels of collective angst. Values represent the expected response on a five-point scale ranging from strongly disagree (1) to strongly agree (5). The dashed horizontal line marks the neutral midpoint of the scale.

Figure 3

Table 3. Results of moderated regression analysis predicting pre-election voting intentions

Figure 4

Table 4. Results of moderated regression analysis predicting post-election voting behaviour

Figure 5

Figure 2. Simple slopes displaying three-way interaction for predicted voting behaviour. Note: For this regression, a predicted probability of 0 = a vote for Trump, while a predicted probability of 1 = a vote for Harris.

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