Evidence map›Paper›PMID 32213472›Full record

ArticleJMIR public health and surveillance2020

Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study.

Robin C Stevens, Bridgette M Brawner, Elissa Kranzler, Salvatore Giorgi, Elizabeth Lazarus, Maramawit Abera, Sarah Huang, Lyle Ungar

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Robin C StevensDepartment of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, United States.ORCID 0000-0002-0481-9983
Bridgette M BrawnerUniversity of Pennsylvania School of Nursing, Philadelphia, PA, United States.ORCID 0000-0003-2707-3210
Elissa KranzlerWharton Risk Management and Decision Processes Center, Philadelphia, PA, United States.ORCID 0000-0003-4492-5817
Salvatore GiorgiDepartment of Computer and Information Science, Philadelphia, PA, United States.ORCID 0000-0001-7381-6295
Elizabeth LazarusCrescenz Veterans Affairs Medical Center, Philadelphia, PA, United States.ORCID 0000-0002-4783-4630
Maramawit AberaCrescenz Veterans Affairs Medical Center, Philadelphia, PA, United States.ORCID 0000-0002-5965-0003
Sarah HuangCrescenz Veterans Affairs Medical Center, Philadelphia, PA, United States.ORCID 0000-0003-3657-9934
Lyle UngarCrescenz Veterans Affairs Medical Center, Philadelphia, PA, United States.ORCID 0000-0003-2047-1443
University of Pennsylvania · USPhiladelphia University · US

Funding

Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundSubstance use by youth remains a significant public health concern. Social media provides the opportunity to discuss and display substance use-related beliefs and behaviors, suggesting that the act of posting drug-related content, or viewing posted content, may influence substance use in youth. This aligns with empirically supported theories, which posit that behavior is influenced by perceptions of normative behavior. Nevertheless, few studies have explored the content of posts by youth related to substance use.

objectiveThis study aimed to identify the beliefs and behaviors of youth related to substance use by characterizing the content of youths' drug-related tweets. Using a sequential explanatory mixed methods approach, we sampled drug-relevant tweets and qualitatively examined their content.

methodsWe used natural language processing to determine the frequency of drug-related words in public tweets (from 2011 to 2015) among youth Twitter users geolocated to Pennsylvania. We limited our sample by age (13-24 years), yielding approximately 23 million tweets from 20,112 users. We developed a list of drug-related keywords and phrases and selected a random sample of tweets with the most commonly used keywords to identify themes (n=249).

resultsWe identified two broad classes of emergent themes: functional themes and relational themes. Functional themes included posts that explicated a function of drugs in one's life, with subthemes indicative of pride, longing, coping, and reminiscing as they relate to drug use and effects. Relational themes emphasized a relational nature of substance use, capturing substance use as a part of social relationships, with subthemes indicative of drug-related identity and companionship. We also identified topical areas in tweets related to drug use, including reference to polysubstance use, pop culture, and antidrug content. Across the tweets, the themes of pride (63/249, 25.3%) and longing (39/249, 15.7%) were the most popular. Most tweets that expressed pride (46/63, 73%) were explicitly related to marijuana. Nearly half of the tweets on coping (17/36, 47%) were related to prescription drugs. Very few of the tweets contained antidrug content (9/249, 3.6%).

conclusionsData integration indicates that drugs are typically discussed in a positive manner, with content largely reflective of functional and relational patterns of use. The dissemination of this information, coupled with the relative absence of antidrug content, may influence youth such that they perceive drug use as normative and justified. Strategies to address the underlying causes of drug use (eg, coping with stressors) and engage antidrug messaging on social media may reduce normative perceptions and associated behaviors among youth. The findings of this study warrant research to further examine the effects of this content on beliefs and behaviors and to identify ways to leverage social media to decrease substance use in this population.

Indexed as

AdolescentHumansNatural Language ProcessingPennsylvaniaQualitative ResearchSocial MediaSubstance-Related DisordersYoung Adultadolescentillicit drugsocial mediayouth

Identifiers

PMID32213472
PMCPMC7146240
OpenAlexW3013882954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.