Evidence map›Paper›PMID 40607106›Full record

ArticlePNAS nexus2025

How opinion variation among in-groups can skew perceptions of ideological polarization.

Peter Steiglechner, Paul E Smaldino, Agostino Merico

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Peter SteiglechnerGlobal Change Impacts and Adaptation, Leibniz Centre for Tropical Marine Research (ZMT), 28359 Bremen, Germany.ORCID https://orcid.org/0000-0002-1937-5983
Paul E SmaldinoDepartment of Cognitive and Information Sciences, University of California, Merced, CA 95343, USA.ORCID https://orcid.org/0000-0002-7133-5620
Agostino MericoGlobal Change Impacts and Adaptation, Leibniz Centre for Tropical Marine Research (ZMT), 28359 Bremen, Germany.ORCID https://orcid.org/0000-0001-8095-8056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a widespread perception that society has been polarizing into groups with increasingly divergent opinions. Multiple studies have sought to quantify the degree of opinion divergence (or ideological polarization), typically relying on differences between self-reported opinions, and have reached mixed conclusions. We propose this inconsistency can be explained by the way individuals' subjective perceptions are shaped by their social identities. We introduce a formal framework to analyze opinion data that accounts for such asymmetric, dynamic perceptions. When members of an in-group become increasingly homogeneous on a given topic (i.e. when the variance of opinions in that group decreases), they perceive deviant opinions as increasingly distant from their own. Consequently, these individuals may perceive greater polarization than an objective, neutral observer would. Applying the framework to data on the opinions of Germans about climate change, we show that perceived polarization may depend as much on the dynamics of in-group variance as it does on actual opinion divergence in society. Moreover, we show that the direction of this effect may vary over time and across different partisan groups. Our framework offers an explanation why people might sometimes perceive higher levels of ideological polarization than surveys indicate, independent of social segregation, polarization-enforcing cognitive biases, or affect-driven attitudes towards out-groups.

Indexed as

belief dynamicsclimate changeperceptionpolarizationsocial identity

Identifiers

PMID40607106
PMCPMC12218193

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.