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Social Media Use and Perceived Social Isolation Among Young Adults in the U.S

American journal of preventive medicine, 2017-07, Vol.53 (1), p.1-8

2017

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The association between social media use and sleep disturbance among young adults

Preventive medicine, 2016-04, Vol.85, p.36-41

2016

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Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets

Journal of medical Internet research, 2022-03, Vol.24 (3), p.e27894

2022

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Characteristics and engagement among English-language online forums for addiction recovery available in the US

Internet interventions : the application of information technology in mental and behavioural health, 2024-03, Vol.35, p.100708-100708, Article 100708

2024

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Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content

JMIR formative research, 2022-04, Vol.6 (4), p.e26335-e26335

2022

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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis

JMIR formative research, 2023-08, Vol.7, p.e50346-e50346

2023

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ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS

Depression and anxiety, 2016-04, Vol.33 (4), p.323-331

2016

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Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among U.S. young adults

Computers in human behavior, 2017-04, Vol.69, p.1-9

2017

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Social Media Use Before Bed and Sleep Disturbance Among Young Adults in the United States: A Nationally Representative Study

Sleep (New York, N.Y.), 2017-09, Vol.40 (9)

2017

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Miscommunication about the US federal Tobacco 21 law: a content analysis of Twitter discussions

Tobacco control, 2023-11, Vol.32 (6), p.696

2023

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JUUL: Spreading Online and Offline

Journal of adolescent health, 2018-11, Vol.63 (5), p.582-586

2018

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Toward Real-Time Infoveillance of Twitter Health Messages

American journal of public health (1971), 2018-08, Vol.108 (8), p.1009-1014

2018

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Alcohol: Portrayals of Alcohol in Top Videos on TikTok

Journal of studies on alcohol and drugs, 2021-09, Vol.82 (5), p.615

2021

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Vape Shop Proliferation and Noncompliance in Pennsylvania: A Pre- and Post-tax Analysis

Tobacco use insights, 2021-02, Vol.14, p.1179173X20927389-1179173X20927389

2021

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Social media use, personality characteristics, and social isolation among young adults in the United States

Personality and individual differences, 2018-04, Vol.124, p.45-50

2018

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I wake up and hit the JUUL: Analyzing Twitter for JUUL nicotine effects and dependence

Drug and alcohol dependence, 2019-11, Vol.204, p.107500-107500, Article 107500

2019

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Algorithmic accountability on social media platforms in the context of alcohol‐related health behavior change

Addiction (Abingdon, England), 2023-01, Vol.118 (1), p.189-190

2023

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Using TikTok in recovery from substance use disorder

Drug and alcohol dependence, 2021-12, Vol.229 (Pt A), p.109147-109147, Article 109147

2021

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DoctorsSpeakUp: Lessons learned from a pro-vaccine Twitter event

Vaccine, 2021-05, Vol.39 (19), p.2684-2691

2021

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Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: “Can Someone Tell Me Why Nicotine is So Fire When You’re Drunk?”

Nicotine & tobacco research, 2022-07, Vol.24 (8), p.1193-1200

2022

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Portrayal of Alcohol Intoxication on YouTube

Alcoholism, clinical and experimental research, 2015-03, Vol.39 (3), p.496-503

2015

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Measures of Organizational Culture and Climate in Primary Care: a Systematic Review

Journal of general internal medicine : JGIM, 2021-02, Vol.36 (2), p.487-499

2021

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World Vaping Day: Contextualizing Vaping Culture in Online Social Media Using a Mixed Methods Approach

Journal of mixed methods research, 2019-04, Vol.13 (2), p.196-215

2019

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Policy and Behavior: Comparisons between Twitter Discussions about the US Tobacco 21 Law and Other Age-Related Behaviors

International journal of environmental research and public health, 2022-02, Vol.19 (5), p.2613

2022

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Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study

Journal of medical Internet research, 2020-08, Vol.22 (8), p.e17478-e17478

2020

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Social Media Use and Perceived Social Isolation Among Young Adults in the U.S

The association between social media use and sleep disturbance among young adults

Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets

Characteristics and engagement among English-language online forums for addiction recovery available in the US

Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content

Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis

ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS

Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among U.S. young adults

Social Media Use Before Bed and Sleep Disturbance Among Young Adults in the United States: A Nationally Representative Study

Miscommunication about the US federal Tobacco 21 law: a content analysis of Twitter discussions

JUUL: Spreading Online and Offline

Toward Real-Time Infoveillance of Twitter Health Messages

Alcohol: Portrayals of Alcohol in Top Videos on TikTok

Vape Shop Proliferation and Noncompliance in Pennsylvania: A Pre- and Post-tax Analysis

Social media use, personality characteristics, and social isolation among young adults in the United States

I wake up and hit the JUUL: Analyzing Twitter for JUUL nicotine effects and dependence

Algorithmic accountability on social media platforms in the context of alcohol‐related health behavior change

Using TikTok in recovery from substance use disorder

DoctorsSpeakUp: Lessons learned from a pro-vaccine Twitter event

Analyzing Twitter Chatter About Tobacco Use Within Intoxication-related Contexts of Alcohol Use: “Can Someone Tell Me Why Nicotine is So Fire When You’re Drunk?”

Portrayal of Alcohol Intoxication on YouTube

Measures of Organizational Culture and Climate in Primary Care: a Systematic Review

World Vaping Day: Contextualizing Vaping Culture in Online Social Media Using a Mixed Methods Approach

Policy and Behavior: Comparisons between Twitter Discussions about the US Tobacco 21 Law and Other Age-Related Behaviors

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study

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