Evidence map›Paper›PMID 40125537›Full record

ArticleJournal of criminal justice

The limits of digital liberation: The social locations of gang-affiliated girls and women in the digital streets.

John Leverso, Kate K O'Neill, Alex Knorre, George Mohler

Abstract read
In one paragraph

Article in Journal of criminal justice. 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.

John LeversoUniversity of Cincinnati, School of Criminal Justice Department, 2610 University Circle, Cincinnati, OH 45221, United States of America.ORCID 0000-0002-3700-7703
Kate K O'NeillUniversity of Iowa, Department of Sociology, North Hall, 401, Iowa City, IA 52242, United States of America.
Alex KnorreDepartment of Criminology, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA.
George MohlerBoston College, Department of Computer Science, Gasson Hall, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, United States of America.

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

This study investigates the social network structure of an online gang forum, focusing on the social location of gang-affiliated girls and women in the "digital streets." Existing studies highlight how gang members use social media for masculine posturing and promoting violent identities, but there is a significant gap in understanding the digital engagement of girls and women in gangs. Specifically, few studies have directly examined the network positionality of girls and women through social network analysis of digital data. Our research addresses this gap by analyzing user-to-user interactions on a public Facebook page popular among Chicago-area gang members, circa 2015-2016 (4231 positive and negative interactions across 37,403 comments from 6829 user profiles). Digital platforms could offer a space where girls and women who claim gang affiliation can be liberated from analog constraints in establishing gang centrality. Findings indicate, however, that girls and women remain in peripheral network positions, undermining the liberation hypothesis. Our findings challenge optimistic narratives about the liberating potential of social media, underscore the persistence of misogyny in gang culture, and contribute to understanding how digitalization affects gang dynamics.

Indexed as

Female gang membershipGangsSocial media’ liberation hypothesisSocial network anaylsis

Identifiers

PMID40125537
PMCPMC11928011

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.