Reframing social media discourse following the FDA's menthol ban announcement as industry agenda setting rather than public sentiment.

BACKGROUND: The tobacco industry has spent millions of dollars promoting racialised narratives against the US Food and Drug Administration's recently announced ban on menthol as a characterising cigarette flavour. This research investigates racialised narratives in online discourse following the ban's announcement. METHODS: Tweets and users responding to the April 2022 menthol ban announcement were content analysed to examine the influence of tobacco industry affiliates and potentially organic African-American/Black (AA/B) users. Next we investigated the extent to which the menthol ban was discussed on AA/B subreddits and used Latent Dirichlet Allocation topic modelling to provide an overview of the menthol ban discussion on Reddit. RESULTS: Only 28 (13.9%) tweets by 22 users claimed that the menthol ban would lead to police violence and/or racial discrimination. Of users who tweeted about over-policing, eight (36.4%) had financial connections to the tobacco industry. There were only three tweets receiving a combined seven retweets from potentially organic AA/B users. On Reddit, only two posts with one comment discussed the menthol ban on subreddits dedicated to AA/B issues and culture. Topic modelling showed that the most common topic related to the menthol ban involved the social and political implications of the ban followed by illicit markets and protecting youth. CONCLUSION: Tweets claiming a menthol ban will lead to police violence are indicative of industry agenda-setting. The menthol ban was not a prominent topic of discussion in AA/B subreddits although users discussing news and politics expressed concern for how AA/B people would respond to a ban politically.

Youth and Young Adult Awareness of and Perceptions About Tobacco Marketing as a Social Justice Issue.

INTRODUCTION: Systemic racism and tobacco-industry targeting contribute to disparities in communities of color. However, understanding tobacco as a social justice issue and the industry's role in perpetuating inequities remains limited. This study explored youth and young adult awareness of tobacco marketing and perceptions of tobacco marketing as a social justice issue. AIMS AND METHODS: Focus groups were conducted with youth and young adults in 2020 and 2021, including individuals who used tobacco and e-cigarettes and those who did not use either. Online surveys were conducted in 2021 with youth (n = 1227) and young adults (n = 2643) using AmeriSpeak's nationally representative panel, oversampling for black and Hispanic Americans and people who smoke. Perceptions of flavor bans, social justice, and industry marketing were assessed. RESULTS: Most (>80%) survey respondents agreed that tobacco companies target youth. However, only 20% saw tobacco as a social justice issue. Focus group participants regardless of their tobacco or e-cigarette use, reported higher prevalence of tobacco advertising in their communities relative to survey respondents but did not view it as targeting communities of color. Black non-Hispanic (20.9%) and Hispanic (21.4%) survey respondents perceived tobacco as a social justice issue more than white non-Hispanic (16.1%) respondents. The majority (>60%) of survey respondents supported bans on menthol and flavored tobacco, regardless of race or ethnicity. CONCLUSIONS: Respondents broadly supported menthol and flavored tobacco bans and recognized tobacco-industry influence on youth. Low awareness of tobacco as a social justice issue highlights the need to raise awareness of the underlying factors driving tobacco-related disparities. IMPLICATIONS: The majority of young people see the tobacco industry as targeting them. Most young people support bans on menthol and flavored tobacco bans, with support across racial and ethnic groups. While few young respondents perceived tobacco as a social justice issue, some perceived tobacco companies as targeting low-income and communities of color. Black non-Hispanic and Hispanic respondents were more likely to perceive tobacco as a social justice issue than white non-Hispanic respondents. Efforts to raise awareness among young people of tobacco as a social justice issue may be key in addressing tobacco disparities and advancing support for flavor tobacco bans.

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 that 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. AIMS AND 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 U.S. 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. CONCLUSIONS: 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 a 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.

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.

Youth and Young Adult Blunt Use Predicts Progression to Other Nicotine Product Use in the United States.

BACKGROUND: Little cigars or cigarillos (LCCs) are frequently modified to smoke cannabis ("blunts") by youth and young adults. This study investigated whether young blunt users who are otherwise nicotine-naïve are more likely to initiate other tobacco products compared to never blunt users. METHODS AND MATERIALS: Data were from four waves of the Truth Longitudinal Cohort (TLC), a national probability-based sample of youth and young adults (aged 15-24 years) in the United States (Wave 1: January-April 2017; Wave 2: February-May 2018; Wave 3: February-May 2019; Wave 4: September-December 2019). The sample was restricted to nicotine naïve respondents at Wave 1 with possible ever use of blunts (N = 5,284). Logistic regression analyses tested whether ever blunt use at Wave 1 predicted initiation of nicotine products by Wave 4, controlling for established risk factors. RESULTS: Compared to never-blunt users, ever users of blunts at Wave 1 had significantly higher odds of ever using cigars (OR: 4.74; 95% CI: 1.80-12.47; p = 0.002), e-cigarettes (OR: 4.66; 95% CI: 2.42-8.95; p < 0.001), cigarettes (OR: 3.02; 95% CI: 1.17-7.84, p = 0.023), or hookah (OR: 3.47; 95% CI: 1.07-11.29, p = 0.039) by Wave 4. Cannabis (never blunt) use by Wave 1 predicted ever use of e-cigarettes (OR: 3.45, 95% CI: 2.38-5.02, p < 0.001), cigarettes (OR: 3.81; 95% CI: 2.26-6.43, p < 0.001), or hookah (OR: 2.13; 95% CI: 1.12-4.05, p = 0.021) by Wave 4. DISCUSSION: Blunts are a point of nicotine initiation that places users at increased risk of progression to cigars, while the same relationship was not found for cannabis alone.

A Patchy Prohibition: Product and flavor substitution after the FDA's prioritized enforcement policy on flavored e-cigarettes.

INTRODUCTION: E-cigarettes have rapidly grown in use among US adolescents; in response, the FDA engaged in an "enforcement policy on banned e-cigarette flavors" ("enforcement action") for pod-based e-cigarettes in January 2020, which accounted for most US e-cigarette sales. No literature has yet examined long-term changes in e-cigarette sales patterns changed in relation to the FDA enforcement action. METHODS: We analyzed US e-cigarette sales using Nielsen retail scanner data between March 2017-December 2021, describing e-cigarette sales trends overall, by device type, and by flavor category. We also performed Joinpoint regression analysis on the sales trends to detect significant changes in the rate of change of sales over time. RESULTS: The FDA enforcement action was associated with a sharp initial decrease in prefilled pod dollar sales, followed by a steady increase from April 2020 through the end of 2021, growing beyond the previous maximum in August 2019. We also observed a dramatic change in the composition of flavors sold: a large decline in mint-flavored pod sales was offset by a similar increase in menthol-flavored sales. Simultaneously, disposable products sales increased nearly ten-fold from July 2019 to July 2020 before stabilizing, dominated by fruit-flavored products. CONCLUSIONS: Our findings suggest rapid product substitution without a long-term decline in e-cigarette sales in association with the enforcement action, along with a growing dominance of youth-friendly flavors, contrasting against FDA policy goals. Our study revealed the weakness of the "patchy" enforcement action, raising a concern of its unintended consequences as consumption simply shifted to other e-cigarette products. IMPLICATIONS: This is the first detailed longitudinal study on e-cigarette sales trends in the US following the FDA flavor enforcement action, with novel findings on flavor trends and their relation to policy events. We report sales overall, by product type, and by flavor category, and highlight several important trends following the action, such as the rise and persistence of disposable e-cigarettes increasingly and overwhelmingly dominated by youth-friendly flavors, and likely substitution of prefilled e-cigarette flavor without any long-term decline in sales. Our results highlight the weaknesses of "patchy" regulation and suggest the need for a more comprehensive approach to flavor regulation.

Associations between partisan media consumption, opioid use disorder stigma, and opioid policy support: An exploration of the media's role in the ongoing opioid epidemic.

We report on a preliminary investigation into the relationship between partisan media consumption (PMC) among U.S. adults and their (1) opioid use disorder (OUD) stigma, (2) national OUD policy support (e.g., Medicaid coverage for OUD treatment), (3) local OUD policy support (e.g., safe injection sites), (4) discriminatory OUD policies (e.g., denying housing), and (5) carceral OUD policies (e.g., jailing people who use opioids). We performed a cross-sectional survey of a nationally-representative sample of U.S. adults (n = 6,515) from October 1-November 19, 2021. We surveyed a sample of U.S. adults ages 18 and older drawn from NORC's AmeriSpeak® Panel. AmeriSpeak is a probability-based ongoing panel of over 40,000 households designed to represent the U.S. household population. Cross-sectional analyses revealed significant relationships between PMC and OUD stigma (b = 0.29, p <.001, CI95 = 0.14,0.43), support for national (b = -0.31, p <.01, CI95 = -0.54,-0.09) and local policy responses (b = -0.38, p <.001, CI95 = -0.59,-0.17), and support for discriminatory opioid use disorder policies (b = 0.27, p <.01, CI95 = 0.07,0.45). After controlling for self-reported political affiliation and other potential covariates, Republican-leaning media consumption was significantly associated with increased OUD stigma, less support for national and local harm reduction or rehabilitative policies, and more support for discriminatory policies against individuals experiencing OUD. The opposite associations were observed for Democratic-leaning media consumption. Markers for racism mediated the relationship between PMC and support for carceral policies (indirect path b = -0.41,p <.001, CI95 = -0.50,-0.31). Our results indicate that public health advocates must collaborate with conservative leaders to find bipartisan common ground for targeted communication campaigns.

Changes in Sales of Tobacco and Nicotine Replacement Therapy Products Before and During the COVID-19 Pandemic.

INTRODUCTION: The COVID-19 pandemic and its associated social distancing policies such as lockdowns and quarantine influenced people's lives and health behaviors. We comprehensively assessed national trends in sales of cigarettes, cigars, e-cigarettes, and over-the-counter nicotine replacement therapy (NRT) products before and during the pandemic, allowing for cross-product comparisons. Stockpiling behavior was also assessed. METHODS: We used US national tobacco and over-the-counter NRT retail store scanner data (excluding internet, specialty/vape store, and prescription sales) collected at 4-week intervals by NielsenIQ from December 2018 to June 2021. We applied an interrupted time-series model to assess differences in tobacco product and NRT unit sales before and during the pandemic. We defined the prepandemic period as December 16, 2018, through April 4, 2020, pandemic as starting on April 5, 2020, through June 26, 2021, and the stockpiling period as one 4-week period before the pandemic started. RESULTS: Four-week cigarette, e-cigarette, and cigar unit sales on average increased by 11.5% (P = .006), 37.1% (P < .001), and 26.1% (P < .001) respectively, while 4-week NRT unit sales decreased on average by 13.1% (P < .001), during the pandemic compared with the prepandemic period. Stockpiling was associated with increases in sales of all tobacco products and NRT products. CONCLUSION: Unit sales of assessed tobacco products increased while NRT unit sales decreased during the COVID-19 pandemic, compared with the prepandemic period. These changes may suggest an increase in the intensity of tobacco product use or stockpiling of tobacco products among people who use tobacco.

Cigarette Coupon Receipt and Smoking Relapse by Duration of Smoking Abstinence.

INTRODUCTION: It is unknown whether and to what extent the duration of smoking abstinence may modify the association between receiving cigarette coupons and smoking relapse in the U.S. This study aims to fill this gap. METHODS: Data were from the Population Assessment of Tobacco and Health study Wave 4 (December 2016-January 2018, baseline) and Wave 5 (December 2018-November 2019, follow-up) surveys. Analysis was conducted in May 2022. The study sample was participants who formerly smoked cigarettes at baseline (N=5,186). The exposure was past 12-month receipt of cigarette coupons (yes/no) at baseline, and the outcome was cigarette smoking relapse (yes/no) at follow-up. A potential modifier was the duration of smoking abstinence (within/>1 year) at baseline. Baseline single-wave weights were applied, and a multivariable logistic regression model was used to estimate the adjusted association. Interaction between cigarette coupon receipt and duration of smoking abstinence was examined to explore potential modification effects. RESULTS: Participants who received cigarette coupons at baseline were more likely to relapse at follow-up (AOR=1.63, 95% CI=1.15, 2.32). This association was significantly stronger among participants who quit within 1 year than among participants who quit >1 year at baseline (AOR for the interaction term=2.77, 95% CI=1.22, 6.25). Subgroup analysis shows that receipt of cigarette coupons was significantly associated with smoking relapse among participants who quit within 1 year (AOR=2.10, 95% CI=1.39, 3.17), and this association was not statistically significant among participants who quit >1 year (AOR=0.76, 95% CI=0.36, 1.63). CONCLUSIONS: Policies restricting cigarette coupons may help adults who recently quit sustain abstinence.

Trends in Nicotine Strength in Electronic Cigarettes Sold in the United States by Flavor, Product Type, and Manufacturer, 2017-2022.

INTRODUCTION: Most e-cigarettes contain highly addictive nicotine. This study assessed trends in nicotine strength in e-cigarettes sold in the United States during January 2017-March 2022. AIMS AND METHODS: We obtained January 2017-March 2022 national retail e-cigarette sales data from NielsenIQ. We assessed monthly average nicotine strength overall, by e-cigarette product and flavor type, and manufacturer. A Joinpoint regression model assessed the magnitude and significance of changes in nicotine strength. RESULTS: During January 2017-March 2022, monthly average nicotine strength of e-cigarette products increased from 2.5% to 4.4%, an average of 0.8% per month (p < .001). Monthly average nicotine strength of disposable e-cigarettes increased the most (average monthly percentage change [AMPC] = 1.26%, p < .001) as compared to prefilled pods (AMPC = 0.6%, p < .001) and e-liquids (AMPC = 0.5%, p = .218). Monthly average nicotine strength for all flavors of e-cigarette products increased except for mint-flavored products. Increases were greatest for beverage-flavored products (AMPC = 2.1%, p < .001), followed by menthol-flavored products (AMPC = 1.2%, p < .001). Among the top 10 e-cigarette manufacturers assessed, monthly average nicotine strength decreased for Juul Labs products from 5% to 4.7% (AMPC = -0.1%, p < .001) but increased significantly for five manufacturers' products and remained unchanged at 5%-6% for four manufacturers' products. CONCLUSIONS: Monthly average nicotine strength of e-cigarette products increased overall, for most product and flavor types, and for some manufacturers in the United States during the study period. Imposing maximum limits on nicotine strength of e-cigarettes together with other evidence-based tobacco control strategies can help reduce the use of e-cigarettes among youth and increase tobacco product cessation among adults. IMPLICATIONS: From January 2017 to March 2022, the monthly average nicotine strength of disposable e-cigarettes increased substantially and exceeded prefilled pods since May 2020. E-cigarettes with menthol flavor and youth-appealing flavors, like fruit, also had sharp increases in monthly average nicotine strength. Among the top 10 e-cigarette manufacturers, monthly average nicotine strength increased or remained unchanged at a high nicotine level for all manufacturers' products, except Juul Lab's products. Comprehensive strategies including restricting sales of all flavored e-cigarettes, restricting youth tobacco product access, and imposing maximum limits on nicotine strength may help reduce youth e-cigarette use and increase tobacco cessation.

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.

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.

The Short-Term and Long-Term Associations Between Receiving Tobacco Discounts or Coupons and Smoking Cessation Among U.S. Adult Cigarette Smokers With Intention to Quit.

INTRODUCTION: To examine the associations between baseline receipt of cigarette and non-cigarette tobacco discounts or coupons and smoking cessation at follow-up among US adult cigarette smokers with the intention to quit at baseline. AIMS AND METHODS: Data were from the Population Assessment of Tobacco and Health (PATH) study wave 3 (October 2015-October 2016), wave 4 (December 2016-January 2018), and wave 5 (December 2018-November 2019) surveys. Two separate sets of analyses were conducted using wave 3-4 data (N = 3707) and wave 4-5 data (N = 6251). Specifically, wave 4 was used as the 1-year follow-up of wave 3 to examine the short-term association, and wave 5 was used as the 2-year follow-up of wave 4 to examine the longer-term association. Study population were current established cigarette smokers with the intention to quit (within 1 year for wave 3-4 data) at baseline. Exposure was self-reported past 12-month receipt of discounts or coupons for cigarettes and non-cigarette tobacco products at baseline, and outcome was self-reported completely quitting cigarette smoking at follow-up. Baseline single-wave weights were applied, and multivariate logistic regressions were used to estimate the adjusted associations. RESULTS: Participants who received cigarette discounts or coupons at baseline were less likely to quit completely for both 1-year follow-up (aOR = 0.66, 95% CI: 0.48 to 0.90) and 2-year follow-up (aOR = 0.74, 95% CI: 0.61 to 0.90). Baseline receipt of discounts or coupons for non-cigarette tobacco products were not consistently associated with cigarette smoking cessation at follow-up. CONCLUSIONS: Receipt of cigarette discounts or coupons was associated with a reduced likelihood of successful quitting among cigarette smokers with intention to quit. Policies restricting cigarette coupons may help them quit completely. IMPLICATIONS: This study found that among baseline current established cigarette smokers with intention to quit in the United States, baseline receipt of cigarette discounts or coupons was negatively associated with cigarette smoking cessation for both 1-year follow-up and 2-year follow-up. Baseline receipt of discounts or coupons for e-cigarettes, cigars, and other tobacco products were not consistently significantly associated with cigarette smoking cessation at follow-up. Our study results indicated that policies restricting cigarette coupons may help increase the likelihood of successful smoking cessation for smokers with intention to quit.

Televised Anti-Tobacco Media and Smoking Outcomes Among Heterosexual and Sexual Minority Adults in the United States.

BACKGROUND: The prevalence of smoking is higher among sexual minority (SM) individuals compared with heterosexuals. The impact of televised anti-tobacco mass media campaigns on smoking outcomes among SMs is not known. AIMS: We examined whether televised anti-tobacco advertising was differentially associated with current smoking and smoking intensity for SM and heterosexual adults. METHOD: We combined county-level anti-tobacco advertising data (gross rating points) with restricted, geocoded individual-level National Health Interview Survey data on smoking (2013-2015). We estimated associations between advertising and smoking outcomes, including potential effect modification by SM status. RESULTS: Greater anti-tobacco advertising exposure was associated with lower smoking prevalence (prevalence ratio [PR] = 0.97; 95% confidence interval [CI] = [0.94, 1.00]). Although the direction of the association differed for heterosexual and SM adults, differences were not statistically significant. No significant associations were observed with regard to smoking intensity. CONCLUSION: Associations between anti-tobacco advertising and smoking were not significantly different for heterosexual and SM adults.

Disclosure Standards for Social Media and Generative Artificial Intelligence Research: Toward Transparency and Replicability.

Social media dominate today's information ecosystem and provide valuable information for social research. Market researchers, social scientists, policymakers, government entities, public health researchers, and practitioners recognize the potential for social data to inspire innovation, support products and services, characterize public opinion, and guide decisions. The appeal of mining these rich datasets is clear. However, there is potential risk of data misuse, underscoring an equally huge and fundamental flaw in the research: there are no procedural standards and little transparency. Transparency across the processes of collecting and analyzing social media data is often limited due to proprietary algorithms. Spurious findings and biases introduced by artificial intelligence (AI) demonstrate the challenges this lack of transparency poses for research. Social media research remains a virtual "wild west," with no clear standards for reporting regarding data retrieval, preprocessing steps, analytic methods, or interpretation. Use of emerging generative AI technologies to augment social media analytics can undermine validity and replicability of findings, potentially turning this research into a "black box" enterprise. Clear guidance for social media analyses and reporting is needed to assure the quality of the resulting research. In this article, we propose criteria for evaluating the quality of studies using social media data, grounded in established scientific practice. We offer clear documentation guidelines to ensure that social data are used properly and transparently in research and applications. A checklist of disclosure elements to meet minimal reporting standards is proposed. These criteria will make it possible for scholars and practitioners to assess the quality, credibility, and comparability of research findings using digital data.

Changes in Sales of E-Cigarettes, Cigarettes, and Nicotine Replacement Therapy Products Before, During, and After the EVALI Outbreak.

INTRODUCTION: In 2019, an outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) occurred in the US. We used Nielsen retail sales data to assess trends in sales of e-cigarettes, cigarettes, and nicotine replacement therapy (NRT) products before, during, and after the EVALI outbreak. METHODS: Monthly unit sales of e-cigarettes, cigarettes, and NRT products overall and by product type were assessed during January 2019 through June 2020 by using an interrupted time series model. Two time points were specified at the period ending July 13, 2019, and the period ending February 22, 2020, to partition before, during, and after the outbreak period. Sales trends by aggregated state-level EVALI case prevalence (low, medium, and high) were assessed to investigate interstate variations in changes of sales coinciding with the EVALI outbreak. RESULTS: Monthly e-cigarette sales increased 3.5% (P < .001) before the outbreak and decreased 3.1% (P < .001) during the outbreak, with no significant changes after the outbreak. Monthly cigarette sales increased 1.6% (P < .001) before the outbreak, decreased 1.8% (P < .001) during the outbreak, and increased 2.7% (P < .001) after the outbreak. NRT sales did not change significantly before or during the outbreak but decreased (2.8%, P = .01) after the outbreak. Sales trends by state-level EVALI case prevalence were similar to national-level sales trends. CONCLUSION: Cigarette and e-cigarette sales decreased during the EVALI outbreak, but no changes in overall NRT sales were observed until after the outbreak. Continued monitoring of tobacco sales data can provide insight into potential changes in use patterns and inform tobacco prevention and control efforts.

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.

Tobacco promotion restriction policies on social media.

Tobacco promotion is prolific on social media, with each platform setting their own restrictions on tobacco promotion and sales. We evaluated the policies related to tobacco product promotion and sales on 11 sites that are popular with youth in May 2021: Discord, Facebook, Instagram, Pinterest, Reddit, Snapchat, TikTok, Tumblr, Twitch, Twitter and YouTube. Nine of the 11 sites prohibited paid advertising for tobacco products. However, only three of them clearly prohibited sponsored content (ie, social influencers) that promotes tobacco. Six platforms restricted content that sells tobacco products and three tried to prohibit underage access to content that promotes or sells tobacco products. Although most platform policies prohibited paid tobacco advertising, few addressed more novel strategies, such as sponsored/influencer content and few had age-gating to prevent youth access. There is a pressing need to regulate tobacco promotion on social media platforms.

Marijuana Content on Digital Media and Marijuana Use among Young People in the United States.

Health behavior theory establishes that exposure to media messages about a topic influences related knowledge, attitudes, and behavior. Marijuana-related messages proliferating on digital media likely affect attitudes and behavior about marijuana. Most research studying marijuana-related media effects on behavior relies on self-reported survey measures, which are subject to bias; people find it difficult to recall timing, frequency, and sources of messages. We calculated an exogenous measure of exposure to marijuana-related messages on digital media based on emerging public communication environment (PCE) theory. Aggregated online searches and social media posts related to marijuana for a given place reflect the marijuana-related PCE, where people are exposed to and engage with messages from multiple sources. Exogenous measures overcome bias in self-reported exposure and outcome data: simultaneity bias and endogeneity. The PCE reflects both potential exposure and relative importance of the topic in the local community, which may influence real-world marijuana use. Using 2017 Twitter and Google Search data, we measured the marijuana-related PCE to quantify where opportunities for exposure to marijuana-related posts were high and examined relationships between potential exposure and current marijuana use among youth and young adults in 2018. We found that marijuana-related online search and tweeting at the media market level are associated with offline marijuana use, controlling for demographics and state marijuana policy. The marijuana-related digital media environment may reflect and/or influence youth and young adult marijuana use. Social media and online search data offer platforms to monitor the marijuana-related PCE and supplement survey data to study media exposure and marijuana use behavior.