Evidence map›Paper›PMID 40104683›Full record

ArticlePNAS nexus2025

One-shot intervention reduces online engagement with distorted content.

Eeshan Hasan, Gunnar Epping, Lorenzo Lorenzo-Luaces, Johan Bollen, Jennifer Sue Trueblood

Abstract read
PubMed Full text at PMC Publisher
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. 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

5 authors.

Eeshan HasanDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.ORCID https://orcid.org/0000-0002-1429-8050
Gunnar EppingDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.ORCID https://orcid.org/0000-0003-2445-2573
Lorenzo Lorenzo-LuacesDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.ORCID https://orcid.org/0000-0002-8882-0243
Johan BollenCognitive Science Program, Indiana University, Bloomington, IN 47405, USA.ORCID https://orcid.org/0000-0001-7031-9293
Jennifer Sue TruebloodDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.ORCID https://orcid.org/0000-0002-9019-6574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is one of the leading causes of disability worldwide. Individuals with depression often experience unrealistic and overly negative thoughts, i.e. cognitive distortions, that cause maladaptive behaviors and feelings. Now that a majority of the US population uses social media platforms, concerns have been raised that they may serve as a vector for the spread of distorted ideas and thinking amid a global mental health epidemic. Here, we study how individuals (

Indexed as

cognitive behavioral therapydepressionlarge language modelsmental healthsocial media

Identifiers

PMID40104683
PMCPMC11914320

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.