Open Journal of Preventive Medicine

Open Journal of Preventive Medicine

ISSN Print: 2162-2477
ISSN Online: 2162-2485
www.scirp.org/journal/ojpm
E-mail: ojpm@scirp.org
"Temporal variability of problem drinking on Twitter"
written by Joshua Heber West, Parley Cougar Hall, Carl Lee Hanson, Kyle Prier, Christophe Giraud-Carrier, E. Shannon Neeley, Michael Dean Barnes,
published by Open Journal of Preventive Medicine, Vol.2 No.1, 2012
has been cited by the following article(s):
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[3] Instagram Posts Related to Alcohol Use on College Football Game Days after Implementation of an Alcohol Sales Policy
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[4] Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data
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[5] Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks
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[6] Finding influential users in microblogs: state-of-the-art methods and open research challenges
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[7] “I Still Don't Know What Happened, Complete Blackout”: a Content Analysis of Tweets Referencing Alcohol-Induced Amnesia
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[8] MODELING ADDICTION AND DISEASE EPIDEMIOLOGY USING SOCIAL MEDIA
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[9] Análisis de las redes sociales en el consumo de alcohol
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[10] Drink2Vec: Improving the classification of alcohol-related tweets using distributional semantics and external contextual enrichment
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[11] A scoping review of the use of Twitter for public health research
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[12] Mining social media data for biomedical signals and health-related behavior
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[13] Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study
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[14] Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale
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[15] Methods to Improve Existing Heat Wave Surveillance Systems
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[16] “Can't Wait to Blackout Tonight”: An Analysis of the Motives to Drink to Blackout Expressed on Twitter
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[17] A New Frontier of the College Alcohol Culture:# SocialMedia
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[18] drunktwitter: Examining the relations between
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[19] Effective Method for Detecting Drunk Texting.
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[20] Search worldwide, life-sciences literature
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[21] The number and characteristics of newspaper and Twitter reports on suicides and road traffic deaths in young people
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[22] Improving the Classification of Drunk Texting in Tweets Using Semantic Enrichment
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[23] Anticipatory Motivation for Drinking Alcohol: An In-Vivo Study
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[24] The Case for Computational Health Science
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[25] Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media
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[26] 140 Characters of Intoxication: Exploring the Prevalence of Alcohol-Related Tweets and Predicting Their Virality
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[27] Toward Large-scale and Multi-facet Analysis of First Person Alcohol Drinking
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[28] A Twitter-based study on the reach of a smoking cessation organisation and the social meaning of smoking
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[29] # drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults
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[30] Supported Internet-Delivered Cognitive Behavior Treatment for Adults with Severe Depressive Symptoms: A Secondary Analysis
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[31] From social media to public health surveillance: Word embedding based clustering method for twitter classification
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[32] Monitoring obesity prevalence in the United States through bookmarking activities in online food portals
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[33] ソーシャルメディアを用いた依存症者の発言分類とその空間分析
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[34] An investigation into digital alcohol marketing and user-created alcohol promotion, and the association with young adult's alcohol-related knowledge, attitudes, and …
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[35] Social media responses to heat waves
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[36] Detecting Cognitive Distortions Through Machine Learning Text Analytics
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[37] A Descriptive Study of the Prevalence and Typology of Alcohol-Related Posts in an Online Social Network for Smoking Cessation
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[38] PREPRINT: Social Monitoring for Public Health
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[39] Social Monitoring for Public Health
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[40] Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data
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[41] Social Media Correlates of Self-Reported Depressive Symptoms, Worry, and Social Anxiety
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[42] Using social media to monitor mental health discussions− evidence from Twitter
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[43] “When 'Bad'is 'Good'”: Identifying Personal Communication and Sentiment in Drug-Related Tweets
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[44] SOCIAL MEDIA MINING FOR PUBLIC HEALTH MONITORING AND SURVEILLANCE
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[45] # ec: Findings and implications from a quantitative content analysis of tweets about emergency contraception
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[46] Social media and alcohol: Summary of research, intervention ideas and future study directions
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[47] Young Adults' Exposure to Alcohol-and Marijuana-Related Content on Twitter
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[48] “Those edibles hit hard”: Exploration of Twitter data on cannabis edibles in the US
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[49] Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality
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[50] A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign
Journal of Environmental Science and Health, Part A: Toxic/Hazardous Substances and Environmental Engineering, 2016
[51] Ethical issues in using Twitter for population-level depression monitoring: a qualitative study
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[52] Marketing to Youth in the Digital Age: The Promotion of Unhealthy Products and Health Promoting Behaviours on Social Media
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[53] THE JEKYLL AND HYDE OF OUR DRINKING: EVENT SPECIFIC DRINKING, INTERVENTION, AND PREVENTION
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[54] Assessing situations on social media: Temporal, demographic, and personality influences on situation experience
ProQuest Dissertations Publishing, 2016
[55] Maternal occupation during pregnancy, birth weight, and length of gestation: combined analysis of 13 European birth cohorts
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[56] Introduction to the workshop on computational health science.
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[57] Using Twitter to Survey Alcohol Use in the San Francisco Bay Area
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[58] Analysing Twitter as an Opportunity to Understand Substance Use
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[59] Tracking suicide risk factors through Twitter in the US
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[60] Influence of Social Media on Alcohol Use in Adolescents and Young Adults
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[61] “Hey Everyone, I'm Drunk.” An Evaluation of Drinking-Related Twitter Chatter
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[62] Introduction to the workshop on computational health science
Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, 2015
[63] Circadian Rhythms in Socializing Propensity
PloS one, 2015
[64] “Time for dabs”: Analyzing Twitter data on marijuana concentrates across the US
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[65] Research opportunities at the intersection of social media and survey data
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[66] Use of Twitter to monitor attitudes toward depression and schizophrenia: an exploratory study
PeerJ, 2014
[67] Online Course Management System for WIC Nutrition Education and Study of Its Effectiveness in Behavioral and Attitude Changes
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[68] Ethical Issues in Using Twitter for Public Health Surveillance and Research: Developing a Taxonomy of Ethical Concepts From the Research Literature
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[69] Impact of Social Media in Healthcare and Classification and Prediction of Swine Flu Related Tweets Using LDA Model
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[70] Tracking suicide risk factors through Twitter in the US.
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[71] Computational Techniques for Public Health Surveillance
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[72] Twitter and Public Health
Journal of Public Health Management and Practice, 2013
[73] Using Twitter to examine smoking behavior and perceptions of emerging tobacco products
Journal of medical Internet research, 2013
[74] Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month
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[75] " Right time, right place" health communication on Twitter: value and accuracy of location information
Journal of medical Internet research, 2012
[76] Adolescent Health and Media
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