Evidence map›Paper›PMID 36189428›Full record

ArticleSocial media + society

The Relationship Between Social Media Data and Crime Rates in the United States.

Yan Wang, Wenchao Yu, Sam Liu, Sean D Young

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social media + society. 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.

Yan WangUniversity of California, Los Angeles, USA.ORCID 0000-0002-4822-6514
Wenchao YuUniversity of California, Los Angeles, USA.
Sam LiuUniversity of Victoria, Canada.
Sean D YoungUniversity of California, Los Angeles, USA.

Funding

Mining real-time social media big data to monitor HIV: Development and Ethical IssuesR01AI132030 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2017 to 2020
$3.4M
HOPE Social Media Intervention for HIV Testing and Studying Social NetworksR01MH106415 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2015 to 2019
$2.9M
Mining the Social Web to Monitor Public Health and HIV Risk BehaviorsU01HG008488 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CONDIE, TYSON, WANG, WEI · 2015 to 2017
$1.2M
NHGRI NIH HHS U01 HG008488NIAID NIH HHS R01 AI132030NIMH NIH HHS R01 MH106415
6 · The paper itself

Abstract

Crime monitoring tools are needed for public health and law enforcement officials to deploy appropriate resources and develop targeted interventions. Social media, such as Twitter, has been shown to be a feasible tool for monitoring and predicting public health events such as disease outbreaks. Social media might also serve as a feasible tool for crime surveillance. In this study, we collected Twitter data between May and December 2012 and crime data for the years 2012 and 2013 in the United States. We examined the association between crime data and drug-related tweets. We found that tweets from 2012 were strongly associated with county-level crime data in both 2012 and 2013. This study presents preliminary evidence that social media data can be used to help predict future crimes. We discuss how future research can build upon this initial study to further examine the feasibility and effectiveness of this approach.

Indexed as

countycrimesocial mediasubstance abuseTwitter

Identifiers

PMID36189428
PMCPMC9524287

What OpenQuestion holds

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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.