Evidence map›Paper›PMID 37962708›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2024

Surveillance of Gun-Related Conversations on Twitter.

Jon-Patrick Allem, Manan Biyani, Brad J Bushman

Abstract read
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In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2024. 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

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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

3 authors.

Jon-Patrick AllemKeck School of Medicine, University of Southern California, 1845 N Soto Street, 3rd Floor, SSB 312D, Los Angeles, CA, 90032, USA. jonpatrickallem@gmail.com.ORCID 0000-0001-9135-8689
Manan BiyaniKeck School of Medicine, University of Southern California, 1845 N Soto Street, 3rd Floor, SSB 312D, Los Angeles, CA, 90032, USA.
Brad J BushmanSchool of Communication, The Ohio State University, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gun violence in the USA is a documented public health crisis. Publicly accessible data from Twitter posts can be used to rapidly capture and describe the public's recent conversations about guns. Because these gun-related conversations change rapidly, it is important to provide regularly updated information on them. Twitter posts containing gun-related terms were obtained from January 1, 2022 to June 30, 2022. To understand topics of gun-related tweets (N = 449,492), topic modeling was performed with Top2Vec. Gun ownership control, concern about gun safety and its impact on children and schools, and the Second Amendment were major areas of the gun-related discourse on Twitter. Several identified topics in this study were a consequence of the study period, including "Discourse on Capitol Riots," and "Wartime and Military Use of Guns," with the latter topic containing conversations about the Russia-Ukraine War. Conversations around the influence of the National Rifle Association (NRA) on gun policies and pro-gun ownership perspectives were also part of the public discourse. The intersection between alcohol, substance use, and gun use was infrequently observed. Findings suggest that gun-related conversations in social media such as Twitter can inform public health researchers.

Indexed as

FirearmsGun ViolenceSocial MediaChildCommunicationHumansPublic Health

Identifiers

What OpenQuestion holds

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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.