Evidence map›Paper›PMID 41882587›Full record

ArticleBMC public health2026

Gun violence in intimate partner violence: insights from social media.

Yiyang Mei, Ayush Kothari, Juliana Upchurch, Sangmi Kim

Abstract read
In one paragraph

Article in BMC public health, 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

4 authors.

Yiyang MeiSchool of Law, Emory University, Atlanta, GA, USA.
Ayush KothariCollege of Arts & Sciences, Emory University, Atlanta, GA, USA.
Juliana UpchurchSchool of Global Public Health, New York University, New York, NY, USA.
Sangmi KimNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA. sangmi.kim@emory.edu.

Funding

Race/Ethnicity-Specific Algorithms of Chronic Stress Exposures for Preterm Birth Risk: Machine Learning ApproachK01NR019651 · NINR · EMORY UNIVERSITY · PI KIM, SANGMI · 2022 to 2024
$441k
Injury Prevention Research Center 5R49 CE0030XXNINR NIH HHS K01NR019651
6 · The paper itself

Abstract

backgroundThis study analyzed publicly available Reddit data to characterize gun violence in intimate partner violence (IPV) via quantitative content analysis.

methodsWe examined 105 Reddit posts detailing firsthand and vicarious accounts of firearm-related IPV authored by self-identified survivors (94%) and bystanders (6%), including non-fatal shooting. We extracted data on forms and tactics of IPV, survivors’ needs, firearm-related behaviors, and consequences of these experiences.

resultsWe found that Reddit posts contained rich information about firearm use against intimate partners, most often describing non-fatal incidents. Victims whose partners used firearms to threaten or intimidate them were more likely to report experiencing the threat of physical and sexual violence, physical injury, and ongoing safety concerns.

conclusionsSocial media data collected in real-time, anonymously, and unobtrusively can better inform the circumstances around gun violence in IPV and help develop prevention strategies.

Indexed as

Gun ViolenceIntimate Partner ViolenceSocial MediaAdultFemaleFirearmsHumansMaleFirearmGun violenceIntimate partner violenceSocial media

Identifiers

PMID41882587
PMCPMC13137728

What OpenQuestion holds

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LicenceCC BY
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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.