How perceived polarization predicts attitude moralization (and vice versa): A four-wave longitudinal study during the 2020 U.S. election.

Abstract

Within structurally polarized and dynamic contexts, such as the U.S. 2020 presidential elections, the moralization of individuals' attitudes on a specific topic (e.g., climate policy) can dangerously escalate disagreements between groups into zero-sum conflict. However, limited knowledge exists regarding the factors that influence individuals' tendency to moralize their attitudes over time, and what the role of structural polarization is in this psychological process. Our objective is to test a theoretically integrative model of when and how perceived polarization is related to attitude moralization over time within the polarized context of the U.S. 2020 presidential elections and explore reciprocal feedback loops to understand the dynamic relationship between polarization and moralization over time. Our model predicts that, when repeatedly faced with outgroup expressions in the news, individuals' perceptions of polarization will predict within-person attitude moralization over time via strengthening their value-protective responses to these expressions (i.e., perceiving dyadic harm and experiencing negative moral emotions toward the outgroup). To test our model, we conducted a four-wave, 4-month longitudinal study among Biden supporters (N = 1,236) and Trump supporters (N = 617). The results of the within-person analyses generally supported the model's hypotheses across both samples and various attitude topics. Furthermore, cross-lagged structural equation models explored reciprocal influences, revealing positive feedback loops between structural polarization and attitude moralization over time. Our findings thus indicate that perceived polarization strengthens attitude moralization (and vice versa) over time-a dynamic process that helps to explain how nonmoralized conflict between groups can evolve into zero-sum conflict during periods of intense polarization. (PsycInfo Database Record (c) 2024 APA, all rights reserved).