Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter

Tempel, Jan van der; Noormohamed, Aliya; Schwartz, Robert; Norman, Cameron D.; Malas, Muhannad; Zawertailo, Laurie

doi:10.1007/s00038-016-0791-2

Cited by 83 publications

(65 citation statements)

References 13 publications

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“…Because of Twitter’s open platform, it is crucial that health organisations and governmental agencies are aware of the information that is being spread on social media 32. Thus, this study seeks to detect prevalent themes among the public conversation surrounding new regulations for e-cigarettes, via textual analytics methods, to understand initial reactions to the FDA’s regulations, who is driving the conversation33 and how this participation in this discussion fits within the current regulatory landscape 8…”

Section: Introductionmentioning

confidence: 99%

Public reactions to e-cigarette regulations on Twitter: a text mining analysis

et al. 2017

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Section: Introductionmentioning

confidence: 99%

Public reactions to e-cigarette regulations on Twitter: a text mining analysis

et al. 2017

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“…Previous studies have demonstrated that Twitter is a popular venue where substance use behaviors are openly discussed, and researchers have accordingly used Twitter data for substance use epidemiology research (Alvaro et al, 2015; Cavazos-Rehg et al, 2015a; Cole-Lewis et al, 2015; Hanson et al, 2013; Jo et al, 2015; Lamy et al, 2016; Myslin et al, 2013; Thompson et al, 2015; van der Tempel et al, 2016). Additionally, Daniulaityte et al, (2015) identified a greater prevalence of dabbing-related tweets among states that allowed recreational and/or medicinal marijuana use versus states where use is still illegal; this study is informative for potential surveillance of dabbing.…”

Section: Introductionmentioning

confidence: 99%

A content analysis of tweets about high-potency marijuana

Cavazos‐Rehg

Sowles

Krauss

et al. 2016

Drug and Alcohol Dependence

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Introduction “Dabbing” involves heating extremely concentrated forms of marijuana to high temperatures and inhaling the resulting vapor. We studied themes describing the consequences of using highly concentrated marijuana by examining the dabbing-related content on Twitter. Methods Tweets containing dabbing-related keywords were collected from 1/1 – 1/31/2015 (n = 206,854). A random sample of 5,000 tweets was coded for content according to predetermined categories about dabbing-related behaviors and effects experienced using a crowdsourcing service. An examination of tweets from the full sample about respiratory effects and passing out was then conducted by selecting tweets with relevant keywords. Results Among the 5,000 randomly sampled tweets, 3,540 (71%) were related to dabbing marijuana concentrates. The most common themes included mentioning current use of concentrates (n= 849; 24%), the intense high and/or extreme effects from dabbing (n = 763; 22%) and excessive/heavy dabbing (n = 517; 15%). Extreme effects included both physiological (n = 124/333; 37%) and psychological effects (n = 55/333; 17%). The most common physiologic effects, passing out (n=46/333; 14%) and respiratory effects (n=30/333; 9%), were then further studied in the full sample of tweets. Coughing was the most common respiratory effect mentioned (n=807/1179; 68%), and tweeters commonly expressed dabbing with intentions to pass out (416/915; 45%). Conclusions This study adds to the limited understanding of marijuana concentrates and highlights self-reported physical and psychological effects from this type of marijuana use. Future research should further examine these effects and the potential severity of health consequences associated with concentrates.

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“…Many studies have found that exposure to e-cigarette messages on Twitter has increased significantly in recent years [24-26]. As of 2016, 1 study found tweets about e-cigarettes have increased 5 times since 2012 [26].…”

Section: Introductionmentioning

confidence: 99%

“…As of 2016, 1 study found tweets about e-cigarettes have increased 5 times since 2012 [26]. Further investigations into the sources of e-cigarette tweets indicate that most tweets originate from commercial users as marketing or advertising promotional messages.…”

Section: Introductionmentioning

confidence: 99%

“…Much of this content had a positive sentiment skewing favorably toward e-cigarettes [33]. In a purposeful sample specific for smoking cessation, van der Tempel and colleagues [26] found similar dominant themes—marketing, news, personal experiences—from an a priori theme list. Together, the trends in the literature indicate that as e-cigarette content becomes more popular, the majority of this content is positive promotion.…”

Section: Introductionmentioning

confidence: 99%

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E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter

Lazard¹,

Saffer²,

Wilcox³

et al. 2016

JMIR Public Health Surveill

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BackgroundAs the use of electronic cigarettes (e-cigarettes) rises, social media likely influences public awareness and perception of this emerging tobacco product.ObjectiveThis study examined the public conversation on Twitter to determine overarching themes and insights for trending topics from commercial and consumer users.MethodsText mining uncovered key patterns and important topics for e-cigarettes on Twitter. SAS Text Miner 12.1 software (SAS Institute Inc) was used for descriptive text mining to reveal the primary topics from tweets collected from March 24, 2015, to July 3, 2015, using a Python script in conjunction with Twitter’s streaming application programming interface. A total of 18 keywords related to e-cigarettes were used and resulted in a total of 872,544 tweets that were sorted into overarching themes through a text topic node for tweets (126,127) and retweets (114,451) that represented more than 1% of the conversation.ResultsWhile some of the final themes were marketing-focused, many topics represented diverse proponent and user conversations that included discussion of policies, personal experiences, and the differentiation of e-cigarettes from traditional tobacco, often by pointing to the lack of evidence for the harm or risks of e-cigarettes or taking the position that e-cigarettes should be promoted as smoking cessation devices.ConclusionsThese findings reveal that unique, large-scale public conversations are occurring on Twitter alongside e-cigarette advertising and promotion. Proponents and users are turning to social media to share knowledge, experience, and questions about e-cigarette use. Future research should focus on these unique conversations to understand how they influence attitudes towards and use of e-cigarettes.

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Vape, quit, tweet? Electronic cigarettes and smoking cessation on Twitter

Cited by 83 publications

References 13 publications

Public reactions to e-cigarette regulations on Twitter: a text mining analysis

Public reactions to e-cigarette regulations on Twitter: a text mining analysis

A content analysis of tweets about high-potency marijuana

E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter

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