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

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

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

Kar-Hai Chu, Tina B Hershey, Beth L Hoffman, Riley Wolynn, Jason B Colditz, Jaime E Sidani, Brian A Primack

J Med Internet Res 2022;24(3):e27894

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

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

Shyam Visweswaran, Jason B Colditz, Patrick O’Halloran, Na-Rae Han, Sanya B Taneja, Joel Welling, Kar-Hai Chu, Jaime E Sidani, Brian A Primack

J Med Internet Res 2020;22(8):e17478

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Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking

Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking

Kar-Hai Chu, Jason Colditz, Momin Malik, Tabitha Yates, Brian Primack

J Med Internet Res 2019;21(7):e12443

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Tobacco Use Behaviors, Attitudes, and Demographic Characteristics of Tobacco Opinion Leaders and Their Followers: Twitter Analysis

Tobacco Use Behaviors, Attitudes, and Demographic Characteristics of Tobacco Opinion Leaders and Their Followers: Twitter Analysis

Kar-Hai Chu, Anuja Majmundar, Jon-Patrick Allem, Daniel W Soto, Tess Boley Cruz, Jennifer B Unger

J Med Internet Res 2019;21(6):e12676

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Identifying Sentiment of Hookah-Related Posts on Twitter

Identifying Sentiment of Hookah-Related Posts on Twitter

In order to debias the data, select features—(1) the timing of tweets (periodic and regular), (2) spam or not (if the post contains known spam), and (3) ratio of tweets from mobile versus desktop (as compared to the average human Twitter user)—were used to differentiate between legitimate human accounts and social bots following the methods described by Chu et al [16].

Jon-Patrick Allem, Jagannathan Ramanujam, Kristina Lerman, Kar-Hai Chu, Tess Boley Cruz, Jennifer B Unger

JMIR Public Health Surveill 2017;3(4):e74

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Images of Little Cigars and Cigarillos on Instagram Identified by the Hashtag #swisher: Thematic Analysis

Images of Little Cigars and Cigarillos on Instagram Identified by the Hashtag #swisher: Thematic Analysis

Jon-Patrick Allem, Patricia Escobedo, Kar-Hai Chu, Tess Boley Cruz, Jennifer B Unger

J Med Internet Res 2017;19(7):e255

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Methods for Coding Tobacco-Related Twitter Data: A Systematic Review

Methods for Coding Tobacco-Related Twitter Data: A Systematic Review

Brianna A Alyssa Lienemann, Jennifer B Unger, Tess Boley Cruz, Kar-Hai Chu

J Med Internet Res 2017;19(3):e91

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Electronic Cigarette Marketing Online: a Multi-Site, Multi-Product Comparison

Electronic Cigarette Marketing Online: a Multi-Site, Multi-Product Comparison

Kar-Hai Chu, Anupreet K Sidhu, Thomas W Valente

JMIR Public Health Surveill 2015;1(2):e11

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