Evidence map›Paper›PMID 41482946›Full record

ArticlePersonality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc2026

Partisan Animosity as Blame: A Unifying and Generative Framework for Understanding and Transforming Affective Polarization in the Political Sphere.

Raihan Alam, Michael Gill

Abstract read
PubMed Publisher
In one paragraph

Article in Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Raihan AlamUniversity of California San Diego, USA.ORCID 0000-0002-0095-909X
Michael GillLehigh University, Bethlehem, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Academic AbstractPartisan animosity is on the rise in many nations around the globe. Given its significant implications, it is imperative to establish a clear conceptualization of partisan animosity that can aid efforts to reduce it. To address this need, we present a novel framework that conceptualizes partisan animosity as an attitude of blame directed toward political outgroups. Drawing from the literature on moral psychology, we construct a comprehensive model of the psychology of blame. Then, we use that model as an interpretive lens to understand existing interventions that have reduced partisan animosity. Finally, we suggest a variety of possible future interventions inspired by our framework. By adopting this blame-based perspective, our article sheds light on the underlying mechanisms of partisan animosity, provides a unifying framework for understanding existing work, and stimulates novel ideas for future research.Public AbstractPartisan animosity, hostility directed toward political outparties, has been growing in many areas of the world, with significant negative impacts on society and politics. This article offers a new perspective on this growing animosity, proposing that partisan animosity reflects an attitude of blame that partisans direct toward each other. Drawing from insights in moral psychology, we present a model of blame, describing how it operates, and use the model to understand both the nature of partisan animosity and potential pathways for intervention. Our model contributes to understanding partisan animosity with the ultimate goal of informing interventions to reduce it.

Indexed as

AttitudeHostilityMoralsPoliticsHumansModels, Psychologicalblameinterventionsmoral psychologypartisan animosity

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.