Evidence map›Paper›PMID 36103918›Full record

ArticlePreventive medicine2022

How Americans encounter guns: Mixed methods content analysis of YouTube and internet search data.

Megan L Ranney, Frederica R Conrey, Leah Perkinson, Stefanie Friedhoff, Rory Smith, Claire Wardle

Abstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Online Searches for Gun-Related Harm.JAMA network open · 2026
    Article
  2. Article
  3. 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

6 authors.

Megan L RanneyAlpert Medical School of Brown University, Providence, RI, United States of America; Brown-Lifespan Center for Digital Health, Providence, RI, United States of America; Brown University School of Public Health, Providence, RI, United States of America; Rhode Island Hospital, Providence, RI, United States of America.
Frederica R ConreyHarmonyLabs, New York City, NY, United States of America.
Leah PerkinsonBrown University School of Public Health, Providence, RI, United States of America. Electronic address: leah_perkinson@brown.edu.
Stefanie FriedhoffBrown University School of Public Health, Providence, RI, United States of America.
Rory SmithBrown University School of Public Health, Providence, RI, United States of America.
Claire WardleBrown University School of Public Health, Providence, RI, United States of America.

Funding

The development of a family navigator intervention and prevention protocol to reduce risk of suicide and self-injurious behavior for youth aged 10 to 14 years.P20GM139664 · NIGMS · RHODE ISLAND HOSPITAL · PI Laura Korthauer · 2022 to 2026
$13.3M
Building Research Capacity for Firearm Safety Among ChildrenR24HD087149 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CUNNINGHAM, REBECCA M., ZIMMERMAN, MARC A · 2017 to 2021
$4.9M
ACL HHS R01CE003267NCIPC CDC HHS R01 CE003267NICHD NIH HHS R24 HD087149NIGMS NIH HHS P20 GM139664
6 · The paper itself

Abstract

Firearm-related injury and death is a serious public health issue in the U.S. As more Americans consume news and media online, there is growing interest in using these channels to prevent firearm-related harms. Understanding the firearm-related narratives to which consumers are exposed is foundational to this work. This research used the browsing behavior of a representative sample of American adults to identify seven firearm-related content "ecosystems" (defined as naturally occurring networks of channels watched by the same users) on YouTube; we then described the demographics and internet search patterns of users affiliated with each ecosystem. Over the 9-month study period, 72,205 panelists had 16,803,075 person-video encounters with 7,274,093 videos. Among these, 282,419 were related to firearms. Using fast greedy clustering, we partitioned users and channel interactions into seven distinct channel-based content ecosystems that reached more than 1/1000 YouTube users per day. These ecosystems were diverse in reach, users, and content (e.g., guns for self-protection, guns for fun). On average, 0.5% of panelists performed a firearm-related internet search on a given day. The vast majority of searches were related to mass shootings or police-involved shootings (e.g., "active shooter"), and virtually none were about more common firearm harm such as suicide. Searches for firearm safety information were most common among panelists affiliated with the "Hunting & Fishing" and "Guns & Gear" ecosystems, which were watched primarily by older, white men. These findings identify an opportunity for analyzing firearm-related narratives and tailoring firearm safety messaging for users affiliated with specific online content ecosystems.

Indexed as

FirearmsSocial MediaSuicide PreventionWounds, GunshotAdultEcosystemHumansMalePoliceUnited StatesFirearm injuryFirearm safetyNetwork analysisSocial mediaViolenceViolence preventionYouTube

Identifiers

PMID36103918
PMCPMC10618905

What OpenQuestion holds

Textmetadata
LicenceTDM
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.