A new study published in Social Psychological & Personality Science reveals that highlighting shared values between U.S. Republicans and Democrats can reduce perceived polarization and foster hope.
Political polarization in the United States is often seen as deep and intractable. Surveys show that over 80% of Americans are worried about this divide. However, prior research suggests the extent of this polarization may be exaggerated, with Republicans and Democrats overestimating their differences on policies, engagement, and even support for violence.
Lukas J. Wolf and Paul H. P. Hanel conducted this study to explore whether presenting overlapping distributions of shared values could counteract these misperceptions and increase hope about the country’s future.
This research builds on evidence that values—central guiding principles in life—are often more similar across groups than typically assumed. Classic prejudice theories argue that perceived differences in values drive animosity. Recognizing shared values, the authors argue, could reduce partisan hostility and inspire optimism for societal progress.
The research spanned three experiments with a cumulative sample of 2,529 U.S. participants, recruited via Prolific. Participants were required to be U.S. citizens aged 18 or older, fluent in English, and self-identified as either Republican or Democrat. Across all studies, participants began by completing Schwartz’s Portrait Values Questionnaire, a widely used 21-item measure of human values, to introduce them to the concept of shared values.
Study 1 involved 409 participants (200 Republicans, 209 Democrats) who were randomly assigned to one of three conditions: overlapping distributions (depicting shared values between the groups), truncated barplots (emphasizing differences), or a baseline (no visualization). Each condition utilized real data from Ponizovskiy (2022), with the experimental groups shown graphical depictions of values for approximately three minutes. Participants then completed a series of surveys to assess perceived value similarity, potential for compromise, and qualitative hope, alongside other intergroup attitudes.
Study 2 replicated and extended Study 1 with a larger sample of 973 participants (480 Republicans, 493 Democrats). In this iteration, the experimental manipulations and dependent measures were largely consistent with Study 1. However, minor refinements included an expanded measure of potential for compromise, which now assessed perceived agreement on specific policies (e.g., “government spending on health and education”).
Study 3 incorporated an additional condition using untruncated barplots, a recommended alternative for visualizing group comparisons. The study recruited 1,153 participants (576 Republicans, 577 Democrats). This new condition allowed the researchers to compare overlapping distributions to both truncated and untruncated barplots. As in the earlier studies, participants completed measures of perceived similarity, qualitative and quantitative hope, and intergroup attitudes after engaging with the graphs.
Across all three studies, the overlapping distribution condition consistently led to greater perceived value similarity between Republicans and Democrats compared to the other conditions. In Study 1, participants in this condition reported significantly higher perceived similarity scores than those in both the truncated barplot condition and baseline. The overlapping distributions also elicited more hopeful open-ended responses, with coders rating comments from this group as significantly more hopeful than those from the other conditions.
In Study 2, the effects observed in Study 1 were replicated in a larger sample. Participants exposed to overlapping distributions again perceived greater value similarity than those in the other conditions. Additionally, this group reported a stronger belief in the potential for compromise, including perceived agreement on divisive policies such as government spending. Open-ended comments continued to reflect higher levels of hopefulness compared to other conditions.
Study 3 expanded the findings by comparing overlapping distributions to untruncated barplots. The overlapping distribution condition yielded the highest scores for perceived similarity and qualitative hope, with the untruncated barplot condition falling between the overlapping distributions and truncated barplots. Interestingly, while both overlapping distributions and untruncated barplots improved perceived potential for compromise and reduced dehumanization, overlapping distributions had a stronger impact on participants’ sense of shared reality and qualitative hope. Quantitative hope measures, however, did not consistently reflect these trends across studies.
The authors noted a discrepancy between qualitative and quantitative measures of hope, suggesting that while participants expressed hope in unprompted text, these feelings were less apparent in survey responses. They recommend further research to understand this divergence and the longevity of the intervention’s effects.
Overall, this research shows that presenting overlapping distributions of shared values can counteract misperceptions of polarization and foster hope, demonstrating a novel approach to bridging divides in polarized societies.
The research, “Correcting Misperceptions of Fundamental Differences Between U.S. Republicans and Democrats: Some Hope-Inspiring Effects,” was authored by Lukas J. Wolf and Paul H. P. Hanel.
