Background: As vaping rapidly becomes more prevalent, social media data can be harnessed to capture individuals’ discussions of e-cigarette products quickly. The JUUL vaporizer is the latest advancement in e-cigarette technology, which delivers nicotine to the user from a device that is the size and shape of a thumb drive. Despite JUUL’s growing popularity, little research has been conducted on JUUL. Here we utilized Twitter data to determine the public’s early experiences with JUUL describing topics of posts. Methods: Twitter posts containing the term “JUUL” were obtained for 1 April 2107 to 14 December 2017. Text classifiers were used to identify topics in posts (n = 81,689). Results: The most prevalent topic wasPerson Tagging (use of @username to tag someone in a post) at 20.48% followed by Pods (mentions of JUUL’s refill cartridge) at 14.72% and Buying (mentions of purchases) at 10.49%. The topic School (posts indicative of using JUUL or seeing someone use JUUL while at elementary, middle, or high school) comprised 3.66% of posts. The topic of Quit Smoking was rare at 0.29%. Conclusions: Data from social media may be used to extend the surveillance of newly introduced vaping products. Findings suggest Twitter users are bonding around, and inquiring about, JUUL on social media. JUUL’s discreetness may facilitate its use in places where vaping is prohibited. Educators may be in need of training on how to identify JUUL in the classroom. Despite JUUL’s branding as a smoking alternative, very few Twitter users mentioned smoking cessation with JUUL.

Objectives. To use publicly accessible data from people who post to Twitter to rapidly capture and describe the public’s recent experiences with cannabis. Methods. We obtained Twitter posts containing cannabis-related terms from May 1, 2018, to December 31, 2018. We used methods to distinguish between posts from social bots and nonbots. We used text classifiers to identify topics in posts (n = 60 861). Results. Prevalent topics of posts included using cannabis with mentions of cannabis initiation, processed cannabis products, and health and medical with posts suggesting that cannabis could help with cancer, sleep, pain, anxiety, depression, trauma, and posttraumatic stress disorder. Polysubstance use was a common topic with mentions of cocaine, heroin, ecstasy, LSD, meth, mushrooms, and Xanax along with cannabis. Social bots regularly made health claims about cannabis. Conclusions. Findings suggest that processed cannabis products, unsubstantiated health claims about cannabis products, and the co-use of cannabis with legal and illicit substances warrant considerations by public health researchers in the future.

BackgroundHookah (or tobacco waterpipe) use has recently become prevalent in the United States. The contexts and experiences associated with hookah use are unclear, yet such information is abundant via publicly available hookah users’ social media postings.ObjectiveIn this study, we utilized Twitter data to characterize Twitter users’ recent experiences with hookah.MethodsTwitter posts containing the term “hookah” were obtained from April 1, 2017 to 29 March, 2018. Text classifiers were used to identify clusters of topics that tended to co-occur in posts (n=176,706).ResultsThe most prevalent topic cluster was Person Tagging (use of @username to tag another Twitter account in a post) at 21.58% (38,137/176,706) followed by Promotional or Social Events (eg, mentions of ladies’ nights, parties, etc) at 20.20% (35,701/176,706) and Appeal or Abuse Liability (eg, craving, enjoying hookah) at 18.12% (32,013/176,706). Additional topics included Hookah Use Behavior (eg, mentions of taking a “hit” of hookah) at 11.67% (20,603/176,706), Polysubstance Use (eg, hookah use along with other substances) at 10.95% (19,353/176,706), Buying or Selling (eg, buy, order, purchase, sell) at 9.37% (16,552/176,706), and Flavors (eg, mint, cinnamon, watermelon) at 1.66% (2927/176,706). The topic Dislike of Hookah (eg, hate, quit, dislike) was rare at 0.59% (1043/176,706).ConclusionsSocial events, appeal or abuse liability, flavors, and polysubstance use were the common contexts and experiences associated with Twitter discussions about hookah in 2017-2018. Considered in concert with traditional data sources about hookah, these results suggest that social events, appeal or abuse liability, flavors, and polysubstance use warrant consideration as targets in future surveillance, policy making, and interventions addressing hookah.

Introduction E-liquid is the solution aerosolized by e-cigarette devices to produce vapor. Continuously evolving e-liquids, and corresponding devices, can affect user experiences associated with these products. Twitter conversations about e-liquids can capture salient behavioral, social, and communicative cues associated with e-liquids. We analyzed Twitter data to characterize key topics of conversation about e-liquids to inform surveillance, and regulatory efforts. Methods Twitter posts containing e-liquid-related terms (“e-liquid(s),” “e-juice(s)”) were obtained from 1 January 2018 to 31 December 2018. Text classifiers were used to identify topics of the posts (n = 15,927). Results The most prevalent topic was Promotional at 29.35% followed by Flavors at 24.22%, and Person Tagging at 21.47%. Juice Composition was next most prevalent at 17.61% followed by Cannabis at 16.83%, and Nicotine Health Risks at 6.39%. Quit Smoking was rare at 0.57%. Conclusion These results suggest that flavors, cannabis, health risks of nicotine, and composition warrant consideration as targets in future surveillance, public policy, and interventions addressing the use of e-liquids. Twitter provides ample opportunity to influence the normalization, and uptake, of e-cigarette-related products among non-smokers and youth, unless regulatory restrictions, and counter messaging campaigns are developed to reduce this risk.

INTRODUCTION E-cigarette devices and their component parts are continuously evolving. Little is known about the product design features that may increase the appeal of e-cigarette use, ultimately affecting continuation of use. Product reviews have been described as useful in helping to forecast the popularity of products, and online reviews have become an important channel of product information. This study analyzed e-cigarette product reviews to attempt to arrive at a greater understanding of the features of e-cigarette products that may make them appealing to current users. METHODS Data included 248 product reviews found on a popular e-cigarette-related discussion site of Reddit from 10 April 2017 to 12 November 2018. For this study, we examined the subsections relating to the positive features (PFs) and negative features (NFs) of the product, found in each review. Common themes were identified and coded. RESULTS There were 2929 comments on PFs (average 12 per product), and 1003 on NFs (average 4 per product). Commonly found in the reviews were the ten themes: build quality, color, tip model, battery quality, price, screw quality, power mode performance, coil performance, temperature control performance, and tank quality. CONCLUSIONS Findings suggest e-cigarette users expect well-made devices and have developed ways to discriminate between products that perform well from those that do not. Findings suggest that the control of price and design features of e-cigarette products (e.g. color, size, voltage, wattage, coils) warrants consideration for future research and policies addressing e-cigarette use.