|
[1]
|
Digital Skills’ Role in Intended and Unintended Exposure to Harmful Online Content Among European Adolescents
Media and Communication,
2025
DOI:10.17645/mac.8963
|
|
|
|
|
[2]
|
Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis
Journal of Medical Internet Research,
2024
DOI:10.2196/51870
|
|
|
|
|
[3]
|
Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data
Journal of Medical Internet Research,
2023
DOI:10.2196/39484
|
|
|
|
|
[4]
|
Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data
Journal of Cannabis Research,
2022
DOI:10.1186/s42238-022-00132-1
|
|
|
|
|
[5]
|
Finding influential users in microblogs: state-of-the-art methods and open research challenges
Behaviour & Information Technology,
2022
DOI:10.1080/0144929X.2021.1915384
|
|
|
|
|
[6]
|
When are alcohol-related blackout Tweets written in the United States?
Addictive Behaviors,
2022
DOI:10.1016/j.addbeh.2021.107110
|
|
|
|
|
[7]
|
A Scoping Review of Twitter for Public Health Data: Linguistic Methodologies to Surveil the Leading Causes of Mortality (Preprint)
Journal of Medical Internet Research,
2022
DOI:10.2196/39484
|
|
|
|
|
[8]
|
When are alcohol-related blackout Tweets written in the United States?
Addictive Behaviors,
2022
DOI:10.1016/j.addbeh.2021.107110
|
|
|
|
|
[9]
|
Instagram Posts Related to Alcohol Use on College Football Game Days after Implementation of an Alcohol Sales Policy
American Journal of Health Education,
2022
DOI:10.1080/19325037.2021.2001776
|
|
|
|
|
[10]
|
“I Still Don’t Know What Happened, Complete Blackout”: a Content Analysis of Tweets Referencing Alcohol-Induced Amnesia
Substance Use & Misuse,
2021
DOI:10.1080/10826084.2021.1914105
|
|
|
|
|
[11]
|
Mining Social Media Data for Biomedical Signals and Health-Related Behavior
Annual Review of Biomedical Data Science,
2020
DOI:10.1146/annurev-biodatasci-030320-040844
|
|
|
|
|
[12]
|
Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale
American Journal of Preventive Medicine,
2020
DOI:10.1016/j.amepre.2019.08.027
|
|
|
|
|
[13]
|
A scoping review of the use of Twitter for public health research
Computers in Biology and Medicine,
2020
DOI:10.1016/j.compbiomed.2020.103770
|
|
|
|
|
[14]
|
Drink2Vec: Improving the classification of alcohol-related tweets using distributional semantics and external contextual enrichment
Information Processing & Management,
2020
DOI:10.1016/j.ipm.2020.102369
|
|
|
|
|
[15]
|
Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study
JMIR Public Health and Surveillance,
2020
DOI:10.2196/18540
|
|
|
|
|
[16]
|
“Can't Wait to Blackout Tonight”: An Analysis of the Motives to Drink to Blackout Expressed on Twitter
Alcoholism: Clinical and Experimental Research,
2019
DOI:10.1111/acer.14132
|
|
|
|
|
[17]
|
“Can't Wait to Blackout Tonight”: An Analysis of the Motives to Drink to Blackout Expressed on Twitter
Alcoholism: Clinical and Experimental Research,
2019
DOI:10.1111/acer.14132
|
|
|
|
|
[18]
|
140 Characters of Intoxication: Exploring the Prevalence of Alcohol-Related Tweets and Predicting Their Virality
Sage Open,
2018
DOI:10.1177/2158244018803137
|
|
|
|
|
[19]
|
The Number and Characteristics of Newspaper and Twitter Reports on Suicides and Road Traffic Deaths in Young People
Archives of Suicide Research,
2018
DOI:10.1080/13811118.2018.1479321
|
|
|
|
|
[20]
|
#drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults
Drug and Alcohol Dependence,
2018
DOI:10.1016/j.drugalcdep.2018.08.021
|
|
|
|
|
[21]
|
140 Characters of Intoxication: Exploring the Prevalence of Alcohol-Related Tweets and Predicting Their Virality
SAGE Open,
2018
DOI:10.1177/2158244018803137
|
|
|
|
|
[22]
|
The Case for Computational Health Science
Journal of Healthcare Informatics Research,
2018
DOI:10.1007/s41666-018-0024-y
|
|
|
|
|
[23]
|
Improving the Classification of Drunk Texting in Tweets Using Semantic Enrichment
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI),
2018
DOI:10.1109/WI.2018.00-90
|
|
|
|
|
[24]
|
Social Monitoring for Public Health
Synthesis Lectures on Information Concepts, Retrieval, and Services,
2017
DOI:10.2200/S00791ED1V01Y201707ICR060
|
|
|
|
|
[25]
|
Detecting Cognitive Distortions Through Machine Learning Text Analytics
2017 IEEE International Conference on Healthcare Informatics (ICHI),
2017
DOI:10.1109/ICHI.2017.39
|
|
|
|
|
[26]
|
Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data
Journal of Medical Internet Research,
2017
DOI:10.2196/jmir.6426
|
|
|
|
|
[27]
|
Social media responses to heat waves
International Journal of Biometeorology,
2017
DOI:10.1007/s00484-016-1302-0
|
|
|
|
|
[28]
|
Monitoring obesity prevalence in the United States through bookmarking activities in online food portals
PLOS ONE,
2017
DOI:10.1371/journal.pone.0179144
|
|
|
|
|
[29]
|
From social media to public health surveillance: Word embedding based clustering method for twitter classification
SoutheastCon 2017,
2017
DOI:10.1109/SECON.2017.7925400
|
|
|
|
|
[30]
|
#ec: Findings and implications from a quantitative content analysis of tweets about emergency contraception
DIGITAL HEALTH,
2016
DOI:10.1177/2055207615625035
|
|
|
|
|
[31]
|
Research opportunities at the intersection of social media and survey data
Current Opinion in Psychology,
2016
DOI:10.1016/j.copsyc.2015.10.023
|
|
|
|
|
[32]
|
A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign
Journal of Health Communication,
2016
DOI:10.1080/10810730.2015.1103332
|
|
|
|
|
[33]
|
Ethical issues in using Twitter for population-level depression monitoring: a qualitative study
BMC Medical Ethics,
2016
DOI:10.1186/s12910-016-0105-5
|
|
|
|
|
[34]
|
“Those edibles hit hard”: Exploration of Twitter data on cannabis edibles in the U.S
Drug and Alcohol Dependence,
2016
DOI:10.1016/j.drugalcdep.2016.04.029
|
|
|
|
|
[35]
|
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality
JMIR Mental Health,
2016
DOI:10.2196/mental.4822
|
|
|
|
|
[36]
|
Using social media to monitor mental health discussions − evidence from Twitter
Journal of the American Medical Informatics Association,
2016
DOI:10.1093/jamia/ocw133
|
|
|
|
|
[37]
|
“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets
JMIR Public Health and Surveillance,
2016
DOI:10.2196/publichealth.6327
|
|
|
|
|
[38]
|
#ec: Findings and implications from a quantitative content analysis of tweets about emergency contraception
DIGITAL HEALTH,
2016
DOI:10.1177/2055207615625035
|
|
|
|
|
[39]
|
Introduction to the workshop on computational health science
Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics,
2015
DOI:10.1145/2808719.2812594
|
|
|
|
|
[40]
|
Using Twitter to Survey Alcohol Use in the San Francisco Bay Area
Epidemiology,
2015
DOI:10.1097/EDE.0000000000000315
|
|
|
|
|
[41]
|
Twitter and Public Health
Journal of Public Health Management and Practice,
2015
DOI:10.1097/PHH.0000000000000041
|
|
|
|
|
[42]
|
“Time for dabs”: Analyzing Twitter data on marijuana concentrates across the U.S.
Drug and Alcohol Dependence,
2015
DOI:10.1016/j.drugalcdep.2015.07.1199
|
|
|
|
|
[43]
|
Introduction to the workshop on computational health science
Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics - BCB '15,
2015
DOI:10.1145/2808719.2812594
|
|
|
|
|
[44]
|
Analysing Twitter as an Opportunity to Understand Substance Use
SSRN Electronic Journal,
2015
DOI:10.2139/ssrn.2566850
|
|
|
|
|
[45]
|
Ethical Issues in Using Twitter for Public Health Surveillance and Research: Developing a Taxonomy of Ethical Concepts From the Research Literature
Journal of Medical Internet Research,
2014
DOI:10.2196/jmir.3617
|
|
|
|
|
[46]
|
Use of Twitter to monitor attitudes toward depression and schizophrenia: an exploratory study
PeerJ,
2014
DOI:10.7717/peerj.647
|
|
|
|
|
[47]
|
Tracking Suicide Risk Factors Through Twitter in the US
Crisis,
2014
DOI:10.1027/0227-5910/a000234
|
|
|
|
|
[48]
|
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Journal of Medical Internet Research,
2013
DOI:10.2196/jmir.2534
|
|
|
|
|
[49]
|
Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month
BMC Cancer,
2013
DOI:10.1186/1471-2407-13-508
|
|
|
|
|
[50]
|
"Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information
Journal of Medical Internet Research,
2012
DOI:10.2196/jmir.2121
|
|
|
|