The cannabis product and regulatory landscape is changing in the United States. Against the backdrop of these changes, there have been increasing reports on health-related motives for cannabis use ...and adverse events from its use. The use of social media data in monitoring cannabis-related health conversations may be useful to state- and federal-level regulatory agencies as they grapple with identifying cannabis safety signals in a comprehensive and scalable fashion.
This study attempted to determine the extent to which a medical dictionary-the Unified Medical Language System Consumer Health Vocabulary-could identify cannabis-related motivations for use and health consequences of cannabis use based on Twitter posts in 2020.
Twitter posts containing cannabis-related terms were obtained from January 1 to August 31, 2020. Each post from the sample (N=353,353) was classified into at least 1 of 17 a priori categories of common health-related topics by using a rule-based classifier. Each category was defined by the terms in the medical dictionary. A subsample of posts (n=1092) was then manually annotated to help validate the rule-based classifier and determine if each post pertained to health-related motivations for cannabis use, perceived adverse health effects from its use, or neither.
The validation process indicated that the medical dictionary could identify health-related conversations in 31.2% (341/1092) of posts. Specifically, 20.4% (223/1092) of posts were accurately identified as posts related to a health-related motivation for cannabis use, while 10.8% (118/1092) of posts were accurately identified as posts related to a health-related consequence from cannabis use. The health-related conversations about cannabis use included those about issues with the respiratory system, stress to the immune system, and gastrointestinal issues, among others.
The mining of social media data may prove helpful in improving the surveillance of cannabis products and their adverse health effects. However, future research needs to develop and validate a dictionary and codebook that capture cannabis use-specific health conversations on Twitter.
The risk of infection and severity of illness by SARS-CoV-2 infection is elevated for people who smoke cigarettes and may motivate quitting. Organic public conversations on Twitter about quitting ...smoking could provide insight into quitting motivations or behaviors associated with the pandemic.
This study explored key topics of conversation about quitting cigarette smoking and examined their trajectory during 2018-2020.
Topic model analysis with latent Dirichlet allocation (LDA) identified themes in US tweets with the term "quit smoking." The model was trained on posts from 2018 and was then applied to tweets posted in 2019 and 2020. Analysis of variance and follow-up pairwise tests were used to compare the daily frequency of tweets within and across years by quarter.
The mean numbers of daily tweets on quitting smoking in 2018, 2019, and 2020 were 133 (SD 36.2), 145 (SD 69.4), and 127 (SD 32.6), respectively. Six topics were extracted: (1) need to quit, (2) personal experiences, (3) electronic cigarettes (e-cigarettes), (4) advice/success, (5) quitting as a component of general health behavior change, and (6) clinics/services. Overall, the pandemic was not associated with changes in posts about quitting; instead, New Year's resolutions and the 2019 e-cigarette or vaping use-associated lung injury (EVALI) epidemic were more plausible explanations for observed changes within and across years. Fewer second-quarter posts in 2020 for the topic e-cigarettes may reflect lower pandemic-related quitting interest, whereas fourth-quarter increases in 2020 for other topics pointed to a late-year upswing.
Twitter posts suggest that the pandemic did not generate greater interest in quitting smoking, but possibly a decrease in motivation when the rate of infections was increasing in the second quarter of 2020. Public health authorities may wish to craft messages for specific Twitter audiences (eg, using hashtags) to motivate quitting during pandemics.
Abstract E-cigarettes were initially introduced as a less harmful alternative to combustible cigarettes, but marketing efforts may now be exceeding these claims by associating e-cigarettes with words ...related to healthy foods. These associations could mislead people to assume vaping is a healthy practice. Tweets from January to March 2017 were obtained from the Twitter Streaming Application Programming Interface (API) to assess content about vaping linked to healthy food words. Tweets were classified into one of nine categories along with their source (marketer vs. non-marketer). We content analyzed original English language public postings on Twitter that included vaping-related keywords and at least one of eight co-occurring healthy food-related labels (e.g., ‘natural,’ ‘vitamin,’ ‘vegan,’ and ‘organic’) ( N = 1205). Chi-square analyses compared themes by message source. Findings suggest vaping is being marketed in ways that could paradoxically lead consumers to believe that e-cigarettes are health-enhancing. We found more tweets representing vaping as health-enhancing (9%) than referring to it as a smoking-cessation device (1%). The largest category of tweets referred to vaping as harmless (28%) and therefore compatible with a healthy lifestyle. Tweets presenting vaping as harmless or with a sensation theme were more likely to be authored by marketers than by non-marketers. Food and drug regulation needs to be more vigilant to prevent misleading advertising from e-cigarette marketers.
Social media platforms offer opportunities for targeted health communication ads to improve tobacco and cannabis prevention efforts. This study described tobacco and cannabis-related ads targeted ...towards adolescents and young adults on Snapchat. Data comprised of publicly available tobacco (n = 70) and cannabis-related (n = 64) ads from Snapchat in 2019. Identified themes included: Health consequences (Health effects of tobacco or cannabis use), Financial & legal consequences (Adverse financial or legal implications of substance use), Quitting (Resources for cessation), Industry tactics(Tobacco industry misleads individuals), Policy advocacy (Cannabis law reforms or legalization). Ad performance metrics included average Ad Impressions (number of views per ad) and Ad Spend (cost per ad). Ads were also categorized by Sponsoring Organizations (Government or Advocacy organizations). Health Consequences was the predominant theme followed by Quitting among tobacco-related ads. Government organizations sponsored most tobacco-related ads. Tobacco-related ads targeting adolescents received mean = 4,122,071 impressions and cost mean = $10,385.6 per ad. Tobacco-related ads targeting young adults received mean = 2,151,217 impressions and cost mean = $5,382.1 per ad. Health Consequences was a predominant theme among cannabis-related ads followed by Policy Advocacy. Advocacy organizations sponsored most cannabis-related ads targeting young adults. Cannabis-related ads targeting adolescents received mean = 415,293.8 impressions and cost mean=$793.92 per ad. Cannabis-related ads targeting young adults received mean = 293,267.7 impressions, and cost mean = $740.58. Government and advocacy organization sponsored ads reached millions of adolescents and young adults on Snapchat. Prevention campaigns may consider these number of impressions and cost per ad by theme when designing platform specific ads in the future.
AbstractIntroductionGiven increasing efforts to regulate e-cigarettes, it is important to understand factors associated with support for tobacco regulatory policies. We investigate such factors found ...in social media and hypothesize that greater online engagement with tobacco content would be associated with less support for e-cigarette regulatory policies. MethodsWe constructed social networks of Twitter users who tweet about tobacco and categorized them using a combination of social network and Twitter metrics. Twitter users were identified as representing leaders, followers or general users in online discussions of tobacco products, and invited to complete an online survey. Participants responded to questions about their engagement with tobacco-related content online, degree of support for e-cigarette regulations, exposure to tobacco marketing, e-cigarette use and other demographic information. We examined links between their reported engagement with tobacco-related content and support for e-cigarette regulatory policies using structural equation modelling. ResultsThe analytic sample consisted of 470 participants. The conceptualized structural equation model had a good fit (χ 2 (32) = 24.85, p = 0.09, CFI = 0.99, RMSEA = 0.03). Findings support our hypothesis: engagement with online tobacco content was negatively associated with support for e-cigarette policies, while controlling for e-cigarette use, tobacco marketing exposure, social media use frequency and demographic factors. ConclusionsFindings suggest that our hypothesis was supported. Twitter users engaging with tobacco-related content and harboring negative attitudes toward e-cigarette regulatory policies could be an important audience segment to reach with tailored e-cigarette policy education messages.
•JUUL users posted about quitting JUUL on Twitter.•Themes included quit methods, have quit, want to quit, reasons to quit, difficulty.•Twitter users reported numerous unsuccessful quit ...attempts.•Twitter users joked about switching to more harmful substances to quit Juul.
JUUL, a small pod-based vaping device that aerosolizes nicotine salts, is popular among adolescents and young adults. Because of JUUL’s high nicotine content, JUUL users can become nicotine dependent very quickly and have difficulty quitting. Nicotine-dependent JUUL users might turn to Twitter to seek advice, share their cessation struggles, or report their success rather than confiding in friends or family.
This study analyzed Twitter tweets (N = 3192) posted in 2018–2019 to identify common themes about quitting JUUL. Tweets containing the keywords “JUUL” and “quit” or “quitting” were analyzed qualitatively and grouped into themes.
The most common themes were Methods to quit (25.4%), Have quit (17.8%), Want to quit (16.1%), Reasons to quit (9.6%), Difficulty quitting (7.9%), Barriers to quitting (2.9%), and Curious about quitting (2.1%). Methods to quit included evidence-based tobacco cessation methods such as nicotine replacement therapy and enrolling in a text-to-quit program, but they also included non-evidence-based strategies such as buying lower-nicotine pods online or switching to other tobacco products including cigarettes. Former JUUL users who had quit successfully generally expressed pride but also acknowledged that quitting was very difficult. Reasons for quitting included adverse health effects such as breathing problems and the financial cost of a JUUL habit. Posters mentioned their extreme difficulty quitting JUUL, numerous failed quit attempts, and numerous barriers to quitting including intense physical and emotional withdrawal symptoms. Some posters joked about switching to cigarettes or other drugs to quit JUUL.
Results indicate that JUUL cessation is difficult and that some JUUL users want to quit. Health communication messages are needed to direct JUUL users to effective cessation strategies.
This study explores sponsored tobacco advocacy messages on Facebook and Instagram by: (1) Examining differences in message performance metrics, funding sources, and audience characteristics of anti- ...and protobacco messages in the United States, and (2) Characterizing audience exposure to anti- and protobacco message themes across different age-groups and by gender.
The analysis sample consisting of 375 tobacco-advocacy related messages on Instagram and/or Facebook in the United States from May 29, 2020 to July 26, 2020 was obtained from the Facebook Ad Library Application Programming Interface. Chi-square tests compared differences in anti- and protobacco messages by potential reach, impressions, approximate spend ($), social media platform type, average duration of delivery, type of funding sources, and audience age and gender exposure. Percentage distribution of message themes and audience exposure by age and gender were also examined.
Antitobacco messages (n = 334, 89.07%) exceeded protobacco messages (n = 41, 10.93%) overall. Antitobacco messages had lower potential reach, received a lower proportion of impressions, and spent a lower proportion of money per message. Protobacco advocacy was funded primarily by the tobacco industry and advocacy groups. A small fraction of antitobacco advocacy messages reached young adults and men. Among protobacco advocacy messages, a majority of messages highlighting tobacco regulations, addiction, citizen advocacy, flavors, and impact on economy reached mostly men.
Results illustrate important gaps in current sponsored antitobacco advocacy efforts, demonstrate the feasibility of monitoring sponsored tobacco advocacy on these platforms, and offer insights for future antitobacco advocacy campaigns.
Future antitobacco advocacy efforts on social media may consider more focused efforts in reaching young adults and men and in leveraging strategic social media analytics to improve their overall potential reach and impressions.
IntroductionWe investigated public interest in shopping and point-of-sales (POS) of JUUL and Puff Bar products in the context of five regulatory, company sales policy and other events of interest ...that may have influenced the trajectory of these products during 2019–2021.MethodsOutcome variables included relative search volume (RSV) from Google search queries indicative of shopping interest in and aggregate dollar sales from Nielsen POS for JUUL and Puff Bar in the USA from March 2019 to May 2021. Adjusted autoregressive integrated moving average assessed the observed and predicted trends and adjusted linear regression analysis measured the relative rate of change in the outcome variables for each time period of interest.ResultsAfter the Trump administration announced its plans to ban flavoured e-cigarettes and JUUL Labs, Inc.’s decided to suspend the sales of its sweet and fruity flavoured products, JUUL’s shopping interest RSV and sales declined while Puff Bar’s shopping interest RSV peaked, and its sales increased. From the period following FDA’s announcement of its enforcement guidance policy on unauthorised flavoured cartridge-based e-cigarettes until May 2021, JUUL’s shopping interest RSV and sales continued to decline. Puff Bar’s shopping interest RSV increased, and its sales peaked until the House approved the flavoured e-cigarette ban bill. Puff Bar’s sales steeply declined following suspension of its sales in February 2020. The decline, however, slowed after Puff Bar products were relaunched as ‘synthetic nicotine’ e-cigarettes.ConclusionsPuff Bar’s unprecedented peak in the shopping interest and sales of Puff Bar warrants continued surveillance.
IMPORTANCE: Exposure to tobacco-related content on social media may foster positive attitudes toward tobacco products and brands, and influence the likelihood of initiating or continuing use of ...tobacco, especially among adolescents and young adults. OBJECTIVE: To perform the first systematic review and meta-analysis, to our knowledge, on studies that examined the association between exposure to tobacco content on social media and lifetime tobacco use, past 30-day tobacco use, and susceptibility to use tobacco among never users. DATA SOURCES: Tobacco, social media, and marketing search terms were entered into online databases, including MEDLINE, ISI Web of Science, Scopus, and PsychINFO. Study characteristics, including research design and methods, sampling strategy, and demographics, were assessed for each study. STUDY SELECTION: Studies reporting odds ratios (ORs) for self-reported exposure to, or experimentally manipulated, tobacco content on social media and lifetime tobacco use, past 30-day tobacco, and susceptibility to use tobacco among never users. The systematic search produced 897 independent articles, of which 29 studies met inclusion criteria. DATA EXTRACTION AND SYNTHESIS: A 3-level random-effects meta-analysis was used to estimate ORs, 95% CIs, and heterogeneity (I2) for each tobacco use outcome. Study quality and publication bias were assessed. MAIN OUTCOMES AND MEASURES: Lifetime tobacco use, past 30-day tobacco use, and susceptibility to use tobacco among never users. Tobacco use included e-cigarettes, cigarettes, and other (cigar, hookah, smokeless tobacco). RESULTS: The total sample size across the 24 included datasets was 139 624, including 100 666 adolescents (72%), 20 710 young adults (15%), and 18 248 adults (13%). Participants who were exposed to tobacco content on social media, compared with those who were not exposed, had greater odds of reporting lifetime tobacco use (OR, 2.18; 95% CI, 1.54-3.08; I2 = 94%), past 30-day tobacco use (OR, 2.19; 95% CI, 1.79-2.67; I2 = 84%), and susceptibility to use tobacco among never users (OR, 2.08; 95% CI, 1.65-2.63; I2 = 73%). Subgroup analyses showed similar associations for tobacco promotions, active engagement, passive engagement, lifetime exposure to tobacco content, exposure to tobacco content on more than 2 platforms, and exposure to tobacco content among adolescents and young adults. CONCLUSIONS AND RELEVANCE: Findings suggest that a comprehensive strategy to reduce the amount of tobacco content on social media should be developed by federal regulators. Such actions may have downstream effects on adolescent and young adult exposure to protobacco content, and ultimately tobacco use behaviors.
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