Exploring #MentholBan on TikTok: a Thematic and Semantic Network Analysis.

INTRODUCTION: In April 2021, the U.S. Food and Drug Administration (FDA) announced its intention to ban the sale of menthol cigarettes and cigars. Decades of research support the premise a menthol ban will reduce initiation and disparities in tobacco-related disease among menthol smokers. The tobacco industry opposed such a policy and worked for decades to shape public opposition. Social media discourse can inform our understanding of public opinion about the proposed ban and guide communication strategies and policy implementation. METHODS: This research employed a mixed-methods design to explore TikTok posts discussing the announced menthol ban. Using a TikTok web scraper to extract all content in the #mentholban hashtag (n=171), we coded for 11 themes, characterized content with descriptive statistics, and created a semantic network of co-occurring hashtags. RESULTS: We found primarily negative attitudes towards the US ban announcement and a large volume of menthol "hacks" to circumvent the bans. Our semantic network analysis revealed strong co-occurrences between #mentholban and popularity-seeking hashtags. The metadata associated with each TikTok demonstrated that most posters in #mentholban are not "influencers" in the sense of having many followers, aside from a few niche organizations with multiple posts. We found that perceived political and racial motivations shaped posters' assessments of the menthol ban. Furthermore, we uncovered how individuals and organizational actors shaped menthol ban content on TikTok. CONCLUSION: Our study indicates targeted marketing from alternative menthol product companies and advocacy organizations. The latter of these organizations is more likely to saturate the TikTok landscape with multiple posts and strategic hashtags. IMPLICATIONS: This study pursued an exploration of tobacco policy discussion on TikTok, specifically related to the FDA proposed menthol ban. TikTok is newer platform and our study provides early evidence of policy discussion emerging there, including the types of accounts creating the content and their valence toward the policy.

Characterising advertising strategies and expenditures for conventional and newer smokeless tobacco products.

OBJECTIVE: Nicotine pouch products are an emerging and rapidly growing smokeless tobacco (ST) category in the USA. Little is known about the promotional strategies and media channels used to advertise this ST category or the extent to which the marketing strategies differ from strategies used to promote 'conventional' smokeless products (eg, snuff). We describe the nature, timing of and expenditures related to conventional, snus and newer ST product advertising on print, broadcast and internet media. METHODS: Advertising expenditures were collected using Kantar Media's 'Stradegy' tool, which provides advertising data including dollars spent promoting specific products across various media channels, including print magazines and newspapers, broadcast television and radio, outdoor posters and billboards, and internet. We identified 306 smokeless products within Kantar database and collected ad expenditures retrospectively for January 2018-April 2020. Promotional expenditures were aggregated by product category, by month and by designated market area (DMA). RESULTS: Kantar data analysis returned 28 conventional ST, 22 oral nicotine and 3 snus products (53 total) advertised during the period of observation, with over $71 million spent collectively on ST promotion. Across categories, more advertising dollars were spent on conventional ST products (63%) than newer oral nicotine products (25%) or snus (12%). However, during the later 9-month period from August 2019 to April 2020, oral nicotine products accounted for the majority of monthly ad spending. Most ad spending was placed in the national market ($66.5 million), with Atlanta ($1.1 million), Houston ($1 million) and Las Vegas ($0.8 million) as the top three local DMAs for expenditures. DISCUSSION: Advertising expenditures for nicotine pouches have recently exceeded conventional ST product advertising and nicotine pouches are being promoted nationally. Marketing surveillance as well as understanding consumer appeal, perceptions and consumption are critical next steps in tracking potential uptake of these new products.

Valence of Media Coverage About Electronic Cigarettes and Other Tobacco Products From 2014 to 2017: Evidence From Automated Content Analysis.

INTRODUCTION: As media exposure can influence people's opinions and perceptions about vaping and smoking, analyzing the valence of media content about tobacco products (ie, overall attitude toward tobacco, cigars, electronic cigarettes, etc.) is an important issue. This study advances the field by analyzing a large amount of media content about multiple tobacco products across six different media sources. AIMS AND METHODS: From May 2014 to December 2017, we collected all English-language media items about tobacco products that U.S. young people might see from mass media and websites (long-form) and social media (Twitter and YouTube). We used supervised machine learning to develop validated algorithms to label the valence of these media items. Using the labeled results, we examined the impact of product type (e-cigarettes vs. other tobacco products), source (long-form vs. social media), and time (by month) on the valence of coverage. RESULTS: We obtained 152 886 long-form media texts (20% with more than a passing mention), nearly 86 million tweets, and 12 262 YouTube videos about tobacco products. Most long-form media content opposed, while most social media coverage supported, the use of e-cigarettes and other tobacco products. Over time, within-source valence proportions were stable, though in aggregate, the amount of media coverage against the use of tobacco products decreased. CONCLUSIONS: This study describes the U.S. public communication environment about vaping and smoking for young people and offers a novel big data approach to analyzing media content. Results suggest that content has gradually become less negative toward the use of e-cigarettes and other tobacco products. IMPLICATIONS: This study is the first to examine how the valence of media coverage differs for e-cigarettes versus other tobacco products, across several media sources, and over time using a large corpus of media items. Unlike prior studies, these data allow us to draw conclusions about relative support and opposition for these two categories of products in a variety of media coverage because the same coding scheme was used across products and media sources.

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.

E-cigarette advertising expenditures in the USA, 2014-2018.

BACKGROUND: Tobacco product advertising has been shown to reach youth and promote initiation. This study assessed trends in e-cigarette advertising expenditures in the USA during 2014-2018, overall and by manufacturer and media type. METHODS: Data came from Kantar Media, which provides information on US advertising expenditures, including for e-cigarettes. Advertising expenditures were estimated as the dollar amount spent by e-cigarette companies to purchase advertising space in print, television, Internet, radio and outdoors. Dollar amounts were adjusted to 2017 dollars. Trends in e-cigarette advertising expenditures during 2014-2018 were analysed using Joinpoint regression overall, by media type, and by manufacturers based on 2017-2018 national sales. RESULTS: Total e-cigarette advertising expenditures in print, radio, television, Internet and outdoors decreased substantially from US$133 million in 2014 to US$48 million in 2017, followed by an increase to US$110 million in 2018. By media type, expenditures were highest for print advertising, irrespective of year. By manufacturer, Altria had the highest e-cigarette advertising expenditures, totalling over US$134 million during 2014-2018. Imperial Tobacco had the second highest, totalling over US$85 million during 2014-2018, while JUUL Labs had the highest single-year expenditures, spending over US$73 million in 2018 alone. CONCLUSIONS: E-cigarette advertising expenditures have been volatile in the USA, with declines in traditional advertising venues during 2014-2017 that may reflect a shift towards social media. However, an increase occurred in 2018 that is likely reflective of advertising by newer manufacturers. Continued monitoring of e-cigarette advertising is important to inform tobacco control strategies.

Vaping versus JUULing: how the extraordinary growth and marketing of JUUL transformed the US retail e-cigarette market.

BACKGROUND: While national surveys showed declines in e-cigarette use in the USA between 2015 and 2016, recent reports indicate that JUUL, a sleekly designed e-cigarette that looks like a USB drive, is increasingly being used by youth and young adults. However, the extent of JUUL's growth and its marketing strategy have not been systematically examined. METHODS: A variety of data sources were used to examine JUUL retail sales in the USA and its marketing and promotion. Retail store scanner data were used to capture the retail sales of JUUL and other major e-cigarette brands for the period 2011-2017. A list of JUUL-related keywords was used to identify JUUL-related tweets on Twitter; to identify JUUL-related posts, hashtags and accounts on Instagram and to identify JUUL-related videos on YouTube. RESULTS: In the short 3-year period 2015-2017, JUUL has transformed from a little-known brand with minimum sales into the largest retail e-cigarette brand in the USA, lifting sales of the entire e-cigarette category. Its US$150 million retail sales in the last quarter of 2017 accounted for about 40% of e-cigarette retail market share. While marketing expenditures for JUUL were moderate, the sales growth of JUUL was accompanied by a variety of innovative, engaging and wide-reaching campaigns on Twitter, Instagram and YouTube, conducted by JUUL and its affiliated marketers. CONCLUSIONS: The discrepancies between e-cigarette sales data and the prevalence of e-cigarette use from surveys highlight the challenges in tracking and understanding the use of new and emerging tobacco products. In a rapidly changing media environment, where successful and influential marketing campaigns can be conducted on social media at little cost, marketing expenditures alone may not fully capture the influence, reach and engagement of tobacco marketing.

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.

Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis.

BACKGROUND: Menthol cigarettes are used disproportionately by African American, female, and adolescent smokers. Twitter is also used disproportionately by minority and younger populations, providing a unique window into conversations reflecting social norms, behavioral intentions, and sentiment toward menthol cigarettes. OBJECTIVE: Our purpose was to identify the content and frequency of conversations about menthol cigarettes, including themes, populations, user smoking status, other tobacco or substances, tweet characteristics, and sentiment. We also examined differences in menthol cigarette sentiment by prevalent categories, which allowed us to assess potential perceptions, misperceptions, and social norms about menthol cigarettes on Twitter. This approach can inform communication about these products, particularly to subgroups who are at risk for menthol cigarette use. METHODS: Through a combination of human and machine classification, we identified 94,627 menthol cigarette-relevant tweets from February 1, 2012 to January 31, 2013 (1 year) from over 47 million tobacco-related messages gathered prospectively from the Twitter Firehose of all public tweets and metadata. Then, 4 human coders evaluated a random sample of 7000 tweets for categories, including sentiment toward menthol cigarettes. RESULTS: We found that 47.98% (3194/6657) of tweets expressed positive sentiment, while 40.26% (2680/6657) were negative toward menthol cigarettes. The majority of tweets by likely smokers (2653/4038, 65.70%) expressed positive sentiment, while 91.2% (320/351) of nonsmokers and 71.7% (91/127) of former smokers indicated negative views. Positive views toward menthol cigarettes were predominant in tweets that discussed addiction or craving, marijuana, smoking, taste or sensation, song lyrics, and tobacco industry or marketing or tweets that were commercial in nature. Negative views toward menthol were more common in tweets about smoking cessation, health, African Americans, women, and children and adolescents-largely due to expression of negative stereotypes associated with these groups' use of menthol cigarettes. CONCLUSIONS: Examinations of public opinions toward menthol cigarettes through social media can help to inform the framing of public communication about menthol cigarettes, particularly in light of potential regulation by the European Union, US Food and Drug Administration, other jurisdictions, and localities.

Buprenorphine Prescribing and Challenges Faced Among National Health Service Corps Clinicians.

Importance: The National Health Service Corps (NHSC) Loan Repayment Program (LRP) expansion in fiscal year (FY) 2019 intended to improve access to medication for opioid use disorder (MOUD) by adding more clinicians who could prescribe buprenorphine. However, some clinicians still face barriers to prescribing, which may vary between rural and nonrural areas. Objective: To examine the growth in buprenorphine prescribing by NHSC clinicians for Medicaid beneficiaries during the NHSC LRP expansion and describe the challenges to prescribing that persist in rural and nonrural areas. Design, Setting, and Participants: This cross-sectional study analyzed preexpansion and postexpansion Medicaid claims data to evaluate the percentage of prescriptions of buprenorphine filled during FY 2017 through 2021. This study also analyzed challenges and barriers to prescribing MOUD between rural and urban areas, using results from annual surveys conducted with NHSC clinicians and sites from FY 2019 through FY 2021. Exposure: Prescribing of buprenorphine by NHSC clinicians. Main Outcomes and Measures: The main outcomes were the percentage and number of Medicaid beneficiaries with opioid use disorder (OUD) who filled a prescription for buprenorphine before and after the LRP expansion and the challenges NHSC clinicians and sites faced in providing substance use disorder and OUD services. Survey results were analyzed using descriptive statistics. Results: During FYs 2017 through 2021, 7828 NHSC clinicians prescribed buprenorphine (standard LRP: mean [SD] age, 38.1 [8.4] years and 4807 females [78.9%]; expansion LRPs: mean [SD] age, 39.4 [8.1] years and 1307 females [75.0%]). A total of 3297 NHSC clinicians and 4732 NHSC sites responded to at least 1 survey question to the 3 surveys. The overall percentage of Medicaid beneficiaries with OUD who filled a prescription for buprenorphine during the first 2.5 years post expansion increased significantly from 18.9% before to 43.7% after expansion (an increase of 123 422 beneficiaries; P < .001). The percentage more than doubled among beneficiaries living in areas with a high Social Vulnerability Index score (from 17.0% to 36.7%; an increase of 31 964) and among beneficiaries living in rural areas (from 20.8% to 55.7%; an increase of 45 523). However, 773 of 2140 clinicians (36.1%; 95% CI, 33.6%-38.6%) reported a lack of mental health services to complement medication for OUD treatment, and 290 of 1032 clinicians (28.1%; 95% CI, 24.7%-31.7%) reported that they did not prescribe buprenorphine due to a lack of supervision, mentorship, or peer consultation. Conclusions and Relevance: These findings suggest that although the X-waiver requirement has been removed and Substance Abuse and Mental Health Services Administration guidelines encourage all eligible clinicians to screen and offer patients with OUD buprenorphine, as permissible by state law, more trained health care workers and improved care coordination for counseling and referral services are needed to support comprehensive OUD treatment.

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.

Toward an Aggregate, Implicit, and Dynamic Model of Norm Formation: Capturing Large-Scale Media Representations of Dynamic Descriptive Norms Through Automated and Crowdsourced Content Analysis.

Media content can shape people's descriptive norm perceptions by presenting either population-level prevalence information or descriptions of individuals' behaviors. Supervised machine learning and crowdsourcing can be combined to answer new, theoretical questions about the ways in which normative perceptions form and evolve through repeated, incidental exposure to normative mentions emanating from the media environment. Applying these methods, this study describes tobacco and e-cigarette norm prevalence and trends over 37 months through an examination of a census of 135,764 long-form media texts, 12,262 popular YouTube videos, and 75,322,911 tweets. Long-form texts mentioned tobacco population norms (4-5%) proportionately less often than e-cigarette population norms (20%). Individual use norms were common across sources, particularly YouTube (tobacco long-form: 34%; Twitter: 33%; YouTube: 88%; e-cigarette long form: 17%; Twitter: 16%; YouTube: 96%). The capacity to capture aggregated prevalence and temporal dynamics of normative media content permits asking population-level media effects questions that would otherwise be infeasible to address.