Evidence map›Paper›PMID 30343237›Full record

ArticleDrug and alcohol dependence2018

#drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults.

Dana M Litt, Melissa A Lewis, Emma S Spiro, Lovenoor Aulck, Katja A Waldron, Maya K Head-Corliss, Alex Swanson

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
10.1field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 44 citations in OpenAlex.

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  3. The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept.Prevention science : the official journal of the Society for Prevention Research · 2026
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  9. Associations between posting about alcohol on social networking sites and alcohol-induced blackouts in a sample of young adults not in 4-year college.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
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  11. Assessing the Feasibility and Acceptability of a Novel Parent-Based Intervention for Mitigating Social Media Influence on Adolescent Alcohol Consumption.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2025
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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

7 authors at 5 institutions in 1 country.

Dana M LittDepartment of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, United States. Electronic address: dana.litt@unthsc.edu.
Melissa A LewisDepartment of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, United States.
Emma S SpiroInformation School, University of Washington, Seattle, WA, United States.
Lovenoor AulckInformation School, University of Washington, Seattle, WA, United States.
Katja A WaldronDepartment of Biobehavioral Health, Pennsylvania State University, State College, PA, United States.
Maya K Head-CorlissDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.
Alex SwansonDepartment of Educational, School, and Counseling Psychology, University of Missouri, Columbia, MO, United States.
University of Washington · USPennsylvania State University · USUniversity of Missouri · USUniversity of North Texas · USUniversity of North Texas Health Science Center · US

Funding

Informing Alcohol-Related Risk Intervention with the Prototype Willingness ModelR01AA021379 · NIAAA · UNIVERSITY OF WASHINGTON · PI LEWIS, MELISSA A · 2013 to 2017
$2.4M
Developing a Dual-Process Intervention for Alcohol Use among Young AdultsR00AA020869 · NIAAA · UNIVERSITY OF WASHINGTON · PI LITT, DANA M · 2014 to 2016
$729k
Experimental Test of Facebook Social Drinking Norms on Adolescent Alcohol UseR21AA024163 · NIAAA · UNIVERSITY OF WASHINGTON · PI LITT, DANA M · 2016 to 2017
$327k
NIAAA NIH HHS R00 AA020869NIAAA NIH HHS R01 AA021379NIAAA NIH HHS R21 AA024163
6 · The paper itself

Abstract

purposeDespite the importance of social networking sites on young adult alcohol use, few studies have examined Twitter as a conduit for sharing drinking behavior. However, this work generally uses random samples of tweets and thus cannot determine the extent to which Tweets correspond with self-reported drinking cognitions or behaviors. The primary aims of the present study were to (1) document basic patterns of alcohol-related Twitter activity in a subsample of young adult drinkers, and (2) examine whether willingness to drink, alcohol use, and negative consequences are associated with alcohol-related tweeting behavior.

methods186 young adults age 18-20 completed an online survey and provided Twitter handle information. From these participants, a random sample of 5000 Tweets was coded by a trained team to determine whether tweets were related to alcohol use or not. Ordinary least squares regression analyses were conducted to determine whether the proportion of alcohol-related Tweets is associated with self-reported alcohol use willingness, behaviors, and negative consequences.

resultsResults indicated that not only are alcohol-related tweets common among young adults, but that the proportion of one's overall tweets that are related to alcohol is significantly associated with willingness to drink, alcohol use, and negative consequences.

conclusionsThe results of this study are an important step to understanding how digital behavior (e.g., posting about alcohol on Twitter) is related to an individual's self-reported drinking cognitions, alcohol use, and negative consequences and has implications for the way Twitter data can be used for public health surveillance and interventions.

Indexed as

Social MediaSocial NetworkingAdolescentAlcoholic IntoxicationFemaleHumansMaleSurveys and QuestionnairesUnderage DrinkingYoung AdultAlcohol useCognitionsDrinkingSocial networking sitesTwitterYoung adults

Identifiers

PMID30343237
PMCPMC6239902
OpenAlexW2895234123

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.