Can Twitter be used to predict county excessive alcohol consumption rates?

scientific article published on 4 April 2018

Can Twitter be used to predict county excessive alcohol consumption rates? is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2018PLoSO..1394290C
P356DOI10.1371/JOURNAL.PONE.0194290
P932PMC publication ID5884504
P698PubMed publication ID29617408

P50authorLyle H. UngarQ16982570
Robert D AshfordQ59707374
H Andrew SchwartzQ87390013
Salvatore GiorgiQ90659327
Anneke E K BuffoneQ125342357
P2093author name stringBrenda Curtis
Casey Hamilton
Dan Summers
Jessie Hemmons
P2860cites workReligion and alcohol in the U.S. National Alcohol Survey: how important is religion for abstention and drinking?Q54724081
Personality, gender, and age in the language of social media: the open-vocabulary approachQ21559561
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Psychological language on Twitter predicts county-level heart disease mortalityQ28647426
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Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study.Q31019169
Using Web searches to track interest in synthetic cannabinoids (a/k/a 'herbal incense').Q35546449
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Twitter as a Potential Data Source for Cardiovascular Disease Research.Q36146709
Using twitter to examine smoking behavior and perceptions of emerging tobacco productsQ37134335
The burden of alcohol use: excessive alcohol consumption and related consequences among college studentsQ37537427
Systematic review of the Hawthorne effect: new concepts are needed to study research participation effectsQ37671448
Harnessing the cloud of patient experience: using social media to detect poor quality healthcareQ38076695
Future-oriented tweets predict lower county-level HIV prevalence in the United StatesQ38933759
Exploring college students' use of general and alcohol-related social media and their associations with alcohol-related behaviorsQ40178053
Alcohol consumption, strength of religious beliefs, and risky sexual behavior in college students.Q40862039
Surveillance for certain health behaviors among states and selected local areas--Behavioral Risk Factor Surveillance System, United States, 2011.Q41690352
Methodological issues in measuring alcohol use.Q42633140
Does inequality erode social trust? Results from multilevel models of US states and countiesQ43769198
Predicting new diagnoses of HIV infection using internet search engine dataQ44918064
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue4
P407language of work or nameEnglishQ1860
P921main subjectalcohol consumptionQ2647488
XQ918
P304page(s)e0194290
P577publication date2018-04-04
P1433published inPLOS OneQ564954
P1476titleCan Twitter be used to predict county excessive alcohol consumption rates?
P478volume13

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cites work (P2860)
Q64105772Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study
Q89696526Cultural Differences in Tweeting about Drinking Across the US
Q57793748Identifying substance use risk based on deep neural networks and Instagram social media data
Q92664369Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data

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