Using Exogenous Social Media Exposure Measures to Assess the Effects of Smokeless Tobacco-Related Social Media Content on Smokeless Tobacco Sales in the United States.

INTRODUCTION: Prior research on the effects of social media promotion of tobacco products has predominantly relied on survey-based self-report measures of marketing exposure, which potentially introduce endogeneity, recall, and selection biases. New approaches can enhance measurement and help better understand the effects of exposure to tobacco-related messages in a dynamic social media marketing environment. We used geolocation-specific tweet rate as an exogenous indicator of exposure to smokeless tobacco (ST)-related content and employed this measure to examine the influence of social media marketing on ST sales. AIMS AND METHODS: Autoregressive error models were used to analyze the association between the ST-relevant tweet rate (aggregated by 4-week period from February 12, 2017 to June 26, 2021 and scaled by population density) and logarithmic ST unit sales across time by product type (newer, snus, conventional) in the United States, accounting for autocorrelated errors. Interrupted time series approach was used to control for policy change effects. RESULTS: ST product category-related tweet rates were associated with ST unit sales of newer and conventional products, controlling for price, relevant policy events, and the coronavirus disease 2019 (COVID-19) pandemic. On average, 100-unit increase in the number of newer ST-related tweets was associated with 14% increase in unit sales (RR = 1.14; p = .01); 100-unit increase in conventional ST tweets was associated with ~1% increase in unit sales (p = .04). Average price was negatively associated with the unit sales. CONCLUSIONS: Study findings reveal that ST social media tweet rate was related to increased ST consumption and illustrate the utility of exogenous measures in conceptualizing and assessing effects in the complex media environment. IMPLICATIONS: Tobacco control initiatives should include efforts to monitor the role of social media in promoting tobacco use. Surveillance of social media platforms is critical to monitor emerging tobacco product-related marketing strategies and promotional content reach. Exogenous measures of potential exposure to social media messages can supplement survey data to study media effects on tobacco consumption.

Developing a theoretical marketing framework to analyse JUUL and compatible e-cigarette product promotion on Instagram.

BACKGROUND: E-cigarette promotion on social media coincided with the rapid growth of e-cigarette use among American youth, particularly with the increased JUUL pod vaporiser use. We examined commercial JUUL-related messages on Instagram to identify marketing appeals used to target users along the continuum of e-cigarette use; we mapped the appeals to existing theoretical marketing frameworks to better understand industry strategies. METHODS: Hashtag-based keyword rules were used to collect JUUL-related posts from the Instagram application programming interface, 1 March-13 November 2018. Posts were classified as commercial or non-commercial. A combination of machine learning methods, keyword algorithms and human coding were used to characterise message themes in commercial posts. RESULTS: Keyword filters captured 50 817 relevant posts and 41% were commercial. Among commercial posts, 91% contained recruitment/trial-based appeals (eg, combustible tobacco cessation; product sampling; giveaways) and 71% featured reinforcement/addiction-related appeals (eg, loyalty programmes). None of the commercial messages contained e-cigarette cessation-related appeals and less than 25% mentioned quitting combustible tobacco as a recruitment appeal. CONCLUSIONS: Instagram posts featuring e-cigarette related marketing can increase exposure to persuasive messages encouraging e-cigarette trial and use particularly among susceptible youth. Stronger regulations are needed to prevent exposure to social media marketing among young social media users.

Industry response to strengthened regulations: amount and themes of flavoured electronic cigarette promotion by product vendors and manufacturers on Instagram.

BACKGROUND: Social media discussion tends to follow news about proposed or enacted government policies. Thus, digital discourse surveillance may be an effective and unobtrusive way of understanding industry and public response to policies and regulations, including in the domain of tobacco control. Recently, the US Food and Drug Administration restricted sales of flavoured cartridge and disposable vape products. Historically, the tobacco industry used modification of product characteristics, labelling or packaging to work around flavour restrictions. We aimed to characterise strategies used by nicotine product manufacturers and vendors to promote flavoured products on Instagram and to identify policy workaround tactics. METHODS: Keyword rules were used to collect flavoured electronic cigarette-related Instagram posts from CrowdTangle, from 1 January 2019 to 31 December 2021. Posts were coded for commercial content and promotional strategies using a combination of machine learning methods, keyword algorithms and human coding. Additional exploratory analyses were conducted to identify major discussion themes. Non-English posts were excluded from the analyses. RESULTS: Keyword filters captured 113 393 relevant posts from 391 unique accounts, with 46 076 posts referencing flavour promotion (40.6%) and 2124 (2%) posts mentioning alternatives to restricted flavoured products or strategies to evade flavour sales restrictions. Promotional messages featured non-characterising flavour references, 'off-brand' product substitutes, promotion of new flavoured product technologies, innovation, do-it-yourself appeals, global promotion, international delivery and encouraged flavoured product stockpiling. In addition, promotion of refillable devices, e-juice, tank systems and 'box mod' vaporizers was present. CONCLUSION: Social media surveillance can enhance our understanding of public health needs and policy compliance, as well as inform strategies to prevent policy evasion. Examining evolving industry tactics to promote flavoured products in response to regulatory changes can help authorities and practitioners assess policy effectiveness and inform future design and implementation approaches.

The Influence of Provaping "Gatewatchers" on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic.

BACKGROUND: There is a lot of misinformation about a potential protective role of nicotine against COVID-19 spread on Twitter despite significant evidence to the contrary. We need to examine the role of vape advocates in the dissemination of such information through the lens of the gatewatching framework, which posits that top users can amplify and exert a disproportionate influence over the dissemination of certain content through curating, sharing, or, in the case of Twitter, retweeting it, serving more as a vector for misinformation rather than the source. OBJECTIVE: This research examines the Twitter discourse at the intersection of COVID-19 and tobacco (1) to identify the extent to which the most outspoken contributors to this conversation self-identify as vaping advocates and (2) to understand how and to what extent these vape advocates serve as gatewatchers through disseminating content about a therapeutic role of tobacco, nicotine, or vaping against COVID-19. METHODS: Tweets about tobacco, nicotine, or vaping and COVID-19 (N=1,420,271) posted during the first 9 months of the pandemic (January-September 2020) were identified from within a larger corpus of tobacco-related tweets using validated keyword filters. The top posters (ie, tweeters and retweeters) were identified and characterized, along with the most shared Uniform Resource Locators (URLs), most used hashtags, and the 1000 most retweeted posts. Finally, we examined the role of both top users and vape advocates in retweeting the most retweeted posts about the therapeutic role of nicotine, tobacco, or vaping against COVID-19. RESULTS: Vape advocates comprised between 49.7% (n=81) of top 163 and 88% (n=22) of top 25 users discussing COVID-19 and tobacco on Twitter. Content about the ability of tobacco, nicotine, or vaping to treat or prevent COVID-19 was disseminated broadly, accounting for 22.5% (n=57) of the most shared URLs and 10% (n=107) of the most retweeted tweets. Finally, among top users, retweets comprised an average of 78.6% of the posts from vape advocates compared to 53.1% from others (z=3.34, P<.001). Vape advocates were also more likely to retweet the top tweeted posts about a therapeutic role of nicotine, with 63% (n=51) of vape advocates retweeting at least 1 post compared to 40.3% (n=29) of other top users (z=2.80, P=.01). CONCLUSIONS: Provaping users dominated discussions of tobacco use during the COVID-19 pandemic on Twitter and were instrumental in disseminating the most retweeted posts about a potential therapeutic role of tobacco use against the virus. Subsequent research is needed to better understand the extent of this influence and how to mitigate the influence of vape advocates over the broader narrative of tobacco regulation on Twitter.

Discussions of Flavored ENDS Sales Restrictions: Themes Related to Circumventing Policies on Reddit.

OBJECTIVE: To examine conversations among JUUL users on Reddit related to restrictions on flavored ENDS and the shifting policy landscape. METHODS: Posts and comments (n = 166,169) between May 2019 and May 2020 on the subreddit r/JUUL were scraped using pushshift.io API. Keyword filters were used to identify texts discussing flavored ENDS products (n = 33,884 texts). These were further narrowed down to texts discussing flavor policy workaround strategies (n = 7429) and N-gram analysis was performed. Finally, findings from the N-gram analysis were triangulated through qualitative review of a separate sample of texts (n = 488) from the flavor policy-related posts and comments. RESULTS: Overall activity on the subreddit r/JUUL peaked around the time of the EVALI outbreak (September 2019) and when FDA issued guidance restricting flavored ENDS product sales (January 2020). The N-gram analysis revealed an active discussion of banned products one can "still get" or "JUUL compatible" alternatives, including specific brands, brick and mortar locations, and specific flavors. Ten dominant themes emerged from the qualitative review, with some posts containing more than one theme. CONCLUSION: Many users turned to Reddit for information related to the shifting regulatory landscape concerning flavored ENDS. Discussions focused on both legal alternatives to banned products as well as illegal means of acquiring JUUL pods, including residual retail supply, online, and mail vendors.

The Effects of Tobacco Coverage in the Public Communication Environment on Young People's Decisions to Smoke Combustible Cigarettes.

In today's complex media environment, does media coverage influence youth and young adults' (YYA) tobacco use and intentions? We conceptualize the "public communication environment" and effect mediators, then ask whether over time variation in exogenously measured tobacco media coverage from mass and social media sources predicts daily YYA cigarette smoking intentions measured in a rolling nationally representative phone survey (N = 11,847 on 1,147 days between May 2014 and June 2017). Past week anti-tobacco and pro-tobacco content from Twitter, newspapers, broadcast news, Associated Press, and web blogs made coherent scales (thetas = 0.77 and 0.79). Opportunities for exposure to anti-tobacco content in the past week predicted lower intentions to smoke (Odds ratio [OR] = 0.95, p < .05, 95% confidence interval [CI] = 0.91-1.00). The effect was stronger among current smokers than among nonsmokers (interaction OR = 0.88, p < .05, 95% CI = 0.77-1.00). These findings support specific effects of anti-tobacco media coverage and illustrate a productive general approach to conceptualizing and assessing effects in the complex media environment.

Heating Up: How Early Twitter Marketing Gave Rise to Organic Word-of-Mouth About Heated Tobacco Products.

Social media are an important marketing platform for emerging tobacco products. Heated tobacco products (HTPs) have been introduced in a limited number of local test markets in the United States as potentially reduced-exposure tobacco products. HTPs can be used to heat tobacco as well as marijuana. However, due to growing digital media promotion of these products, it is possible that public knowledge and purchasing opportunities extend beyond test markets. Research on HTP social media promotion is sparse. The objective of the present study is to assess the amount and characterize the content of HTP-related messages on Twitter. We used keyword rules to collect HTP-related posts from the Twitter Historical Powertrack from 1 August 2016 to 31 July 2021. Posts were coded for type (organic, commercial), promotional strategies (e.g., discounts, event promotion), and marijuana co-use mentions using a combination of machine learning methods and human coding. Keyword filters captured 121,012 relevant tweets posted over the period of data collection, with 46,013 (38.02%) tweets featuring commercial content. Findings revealed that there was a two-fold increase in the monthly volume of messages from August 2016 to July 2021. The proportion of organic tweets increased from 29% of all tweets in August 2016 to 73.5% in July 2021. Approximately 20.6% of tweets included mentions of marijuana, and 5,243 posts (4.3%) contained links to online retailers. Promotional tweets featured event promotion, discounts, reduced harm appeals, and fashion appeals. Tobacco control and substance use prevention initiatives should include efforts to monitor the role of social media in promoting organic word-of-mouth and normalizing novel tobacco products.

Association between electronic nicotine delivery systems (ENDS) device and E-liquid alterations and flavor use with clinical and EVALI-like symptoms.

Studies reporting clinical symptoms related to electronic nicotine delivery systems (ENDS) usage, especially types of devices and e-liquids, are sparse. The sample included 1,432 current ENDS users, ages 18-64, from a nationwide online survey conducted in 2016. ENDS use included device types, nicotine content, flavors, and e-liquid used. Outcomes included any e-cigarette, or vaping, product use-associated lung injury (EVALI)-like symptoms (e.g., cough, shortness of breath, nausea) as well as any clinical symptoms. Of the sample, 50% were female, 23% non-Hispanic (NH) White, 23% NH Black, 54% Hispanic, 18% aged 18-24, 17% LGBTQ, 41% with <$50 K income, 55% 1 + any symptoms, and 33% 1 + any EVALI-like symptoms. Cough and nausea were most prevalent among EVALI-like symptoms (27% and 7.3%, respectively). The proportion having any EVALI-like symptoms was higher in the following groups: younger, Hispanic, current smokers, and current other product users. With multiple adjustments, participants who used refillable devices, varied nicotine content, used flavored products, or made their own e-liquids were more likely to have clinical symptoms than their counterparts. For example, the odds (95% CI) of having 1 + EVALI-like symptoms in participants who used refillable devices with e-liquid pour or e-liquid cartridge replacement were 1.70 (1.13, 2.56) and 1.95 (1.27, 2.99), respectively, compared to the non-refillable group. Use of products (devices and e-liquids) that can be altered and flavored products are associated with higher odds of having clinical symptoms, including EVALI-like symptoms.

Socioeconomic and Demographic Status and Perceived Health Risks of E-Cigarette Product Contents Among Youth: Results From a National Survey.

Background. The prevalence of e-cigarette use among youth is rising and may be associated with perceptions of health risks for these products. We examined how demographic factors and socioeconomic status (SES) are correlated with the perceived health risks of e-cigarette product contents among youth. Method. Data were from a national online survey of youth aged 13 to 18 between August and October 2017, weighted to be representative of the overall U.S. population in age, sex, race/ethnicity, and region. Survey analysis procedures were used. Results. Of 1,549 e-cigarette users and 1,451 never-e-cigarette users, 20.9% were Hispanic, 13.7% Black, 21.7% LGBTQ (lesbian/gay/bisexual/transgender/queer), and 49.3% in low-income families. With adjustment for e-cigarette use status, perceived health risks of nicotine and toxins/chemicals in e-cigarettes significantly differed by gender, race, sexual orientation, and SES (ps < .05). For example, adjusted odds of perceiving harm from nicotine were 60% higher in girls versus boys, 34% lower in non-Hispanic Blacks versus non-Hispanic Whites, 33% lower in urban versus suburban residents, 40% higher in LGBTQ versus straight-identifying individuals, and 28% lower in low-income versus high-income families. Lower parental education level also was associated with children's lower health risk perception of e-cigarette product contents. Conclusions. For youth, the perceived health risks of e-cigarette product contents were associated with demographics, sexual orientation, and SES. The findings may have relevance for developing communication and education strategies addressing specific youth audiences, especially those in vulnerable groups. These strategies could improve awareness among youth concerning the health risks of e-cigarettes, helping to prevent or reduce e-cigarette uptake and continued use.

Exposure and reach of the US court-mandated corrective statements advertising campaign on broadcast and social media.

OBJECTIVE: As a remedy to committing fraud and violating civil racketeering laws, in November 2017, four major tobacco companies were court-ordered to develop and disseminate corrective statements regarding smoking health risks using mass media channels. We aimed to describe the nature, timing, reach of and exposure to the court-mandated tobacco industry corrective advertising campaign on social, broadcast and print media. METHODS: Data from social, print and broadcast media were used to measure potential exposure to corrective messages. Keyword rules were used to collect campaign-related posts from the Twitter Firehose between November 2017 and January 2018. Data were analysed using a combination of machine learning, keyword algorithms and human coding. Posts were categorised by source (commercial/institutional, organic) and content type (eg, sentiment). Analysis of social media data was triangulated with ratings data for television advertising and print advertising expenditure data. RESULTS: Keyword filters retrieved 13 846 tweets posted by 9232 unique users. The majority of tweets were posted by institutional/commercial sources including news organisations, bots and tobacco control-related accounts and contained links to news and public health-related websites. Approximately 60% of campaign-related tweets were posted during the first week of campaign launch. Household exposure to the televised corrective advertisements averaged 0.56 ads per month. DISCUSSION: The corrective campaign failed to generate social media engagement. The size and timing of the advertising buys were not consistent with strategies effective in generating high sustained impact and audience reach, particularly among youth.

Combining Crowd-Sourcing and Automated Content Methods to Improve Estimates of Overall Media Coverage: Theme Mentions in E-cigarette and Other Tobacco Coverage.

Exposure to media content can shape public opinions about tobacco. Accurately describing content is a first step to showing such effects. Historically, content analyses have hand-coded tobacco-focused texts from a few media sources which ignored passing mention coverage and social media sources, and could not reliably capture over-time variation. By using a combination of crowd-sourced and automated coding, we labeled the population of all e-cigarette and other tobacco-related (including cigarettes, hookah, cigars, etc.) 'long-form texts' (focused and passing coverage, in mass media and website articles) and social media items (tweets and YouTube videos) collected May 2014-June 2017 for four tobacco control themes. Automated coding of theme coverage met thresholds for item-level precision and recall, event validation, and weekly-level reliability for most sources, except YouTube. Health, Policy, Addiction and Youth themes were frequent in e-cigarette long-form focused coverage (44%-68%), but not in long-form passing coverage (5%-22%). These themes were less frequent in other tobacco coverage (long-form focused (13-32%) and passing coverage (4-11%)). Themes were infrequent in both e-cigarette (1-3%) and other tobacco tweets (2-4%). Findings demonstrate that passing e-cigarette and other tobacco long-form coverage and social media sources paint different pictures of theme coverage than focused long-form coverage. Automated coding also allowed us to code the amount of data required to estimate reliable weekly theme coverage over three years. E-cigarette theme coverage showed much more week-to-week variation than did other tobacco coverage. Automated coding allows accurate descriptions of theme coverage in passing mentions, social media, and trends in weekly theme coverage.

'Sweeter Than a Swisher': amount and themes of little cigar and cigarillo content on Twitter.

OBJECTIVE: Despite recent increases in little cigar and cigarillo (LCC) use-particularly among urban youth, African-Americans and Latinos-research on targeted strategies for marketing these products is sparse. Little is known about the amount or content of LCC messages users see or share on social media, a popular communication medium among youth and communities of colour. METHODS: Keyword rules were used to collect tweets related to LCCs from the Twitter Firehose posted in October 2014 and March-April 2015. Tweets were coded for promotional content, brand references, co-use with marijuana and subculture references (eg, rap/hip-hop, celebrity endorsements) and were classified as commercial and 'organic'/non-commercial using a combination of machine learning methods, keyword algorithms and human coding. Metadata associated with each tweet were used to categorise users as influencers (1000 and more followers) and regular users (under 1000 followers). RESULTS: Keyword filters captured over 4 372 293 LCC tweets. Analyses revealed that 17% of account users posting about LCCs were influencers and 1% of accounts were overtly commercial. Influencers were more likely to mention LCC brands and post promotional messages. Approximately 83% of LCC tweets contained references to marijuana and 29% of tweets were memes. Tweets also contained references to rap/hip-hop lyrics and urban subculture. CONCLUSIONS: Twitter is a major information-sharing and marketing platform for LCCs. Co-use of tobacco and marijuana is common and normalised on Twitter. The presence and broad reach of LCC messages on social media warrants urgent need for surveillance and serious attention from public health professionals and policymakers. Future tobacco use prevention initiatives should be adapted to ensure that they are inclusive of LCC use.

An investigation of liquid carryover and sample residual for a high-throughput flow cytometer sample delivery system.

The phenomenon of intersample contamination in air-segmented continuous-flow assays has been studied for many years, and new uses are being found for these sampling techniques every day. One application that has been developed recently employs a flow cytometer to conduct high-throughput screening assays of biological compounds. We have explored the sources of intersample contamination in the system and shown how methods developed previously can be applied to describe these phenomena. Using a simple model, we were able to accurately measure liquid film thickness in the sample tubing and demonstrate the effects of intersample contamination in a flow cytometer assay. Also, measures have been taken to reduce the level of intersample contamination in cytometric screening assays, helping to make the system a more viable tool for drug screening applications.