Evidence map›Paper›PMID 40599828›Full record

ArticlePNAS nexus2025

Motivations to connect with like-minded audiences increase partisan sharing on social media.

Antoine Marie, Michael Bang Petersen

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Antoine MarieDepartment of Political Science, Aarhus University, Bartholins Allé 7, DK-8000 Aarhus C, Denmark.ORCID https://orcid.org/0000-0002-7958-0153
Michael Bang PetersenDepartment of Political Science, Aarhus University, Bartholins Allé 7, DK-8000 Aarhus C, Denmark.ORCID https://orcid.org/0000-0002-6782-5635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media have been accused of facilitating the spread of partisan, hostile, and false news in ways that may foster ideological and affective polarization. Prior research has emphasized that individuals are motivated to selectively share partisan news if it promotes their political convictions or identity. Using a field study of news-sharing behavior on Twitter (study 1:

Indexed as

audiencefollowersmisinformationreputationsocial media

Identifiers

PMID40599828
PMCPMC12210954

What OpenQuestion 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 OpenQuestion graph.