Evidence map›Paper›PMID 41604367›Full record

ArticlePloS one2026

Political polarization on the move: Analyzing geographical mobility between counties in the U.S.

Zhengyi Liang, Jaeho Cho

Abstract read
In one paragraph

Article in PloS one, 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.

Zhengyi LiangDepartment of Communication, University of California, Davis, California, United States of America.ORCID https://orcid.org/0009-0009-8385-4530
Jaeho ChoDepartment of Communication, University of California, Davis, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on geographical polarization typically focuses on residential segregation by partisanship, where individuals with similar political affiliations cluster in the neighborhoods. Our study extends this line of research beyond residential spaces by investigating the influence of political leaning on geographical mobility in non-residential, activity spaces. Specifically, by analyzing human mobility patterns between counties, we explore the effects of political leaning and the strength of political leaning on the preference for politically similar locations. We find that while political leaning does not significantly impact mobility preferences, the strength of political leaning does, even after controlling for economic, demographic, and other contextual factors. Individuals traveling from counties with a strong political leaning are more likely to visit politically congruent destinations. This finding suggests that everyday travel may align with political preferences in counties with politically homogeneous populations. Our study highlights a new research avenue for research on geographical polarization by focusing on human mobility, providing unique insights into how political divisions influence spatial segregation.

Indexed as

PoliticsGeographyHumansResidential SegregationUnited States

Identifiers

PMID41604367
PMCPMC12851469

What OpenQuestion holds

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Registered trials

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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.