E-Cigarette Promotion on Twitter in Australia: Content Analysis of Tweets

Clearing the haze: novel methodology objectively assessing children's online exposure to tobacco and vape marketing

Marketing of tobacco and vape products is effective at recruiting new users; yet, little is known about children's online exposure to such material. This research aimed to develop a methodology for assessing children's exposure to, and engagement with, online tobacco and vape marketing. This pilot study used data from the innovative Kids Online Aotearoa Study in which 156 11-13-year-olds from schools in the Wellington region of Aotearoa New Zealand used Zoom teleconferencing software to record real-time, screen-shared internet use for four consecutive days. We developed a coding framework to analyse the nature and extent of exposure to tobacco or vape marketing and applied it to a strategic subset of children's (n = 16) data. Twenty-one instances of tobacco or vape marketing were identified from 12 participants; four participants had no identified exposures. The findings show that children are exposed to such marketing online, despite legislation that should protect them; these insights improve understanding of the online marketing environment and may help to support global health promotion efforts in tobacco and nicotine control given the borderless nature of the online world. The Kids Online Aotearoa tobacco and vape marketing methodology and coding framework enables the direct assessment of children's exposure to online tobacco and vape marketing and is a valuable research tool to monitor and provide evidence to inform social and political action to protect children from online harm.

Social Media Marketing Strategies for Electronic Cigarettes: Content Analysis of Chinese Weibo Accounts

BACKGROUND

E-cigarettes have gained popularity among teenagers due to extensive marketing strategies on social media platforms. This widespread promotion is a risk factor, as it fosters more positive attitudes toward e-cigarette use among teenagers and increases the perception that using e-cigarettes is normal. Therefore, the marketing of e-cigarettes on social media is a serious global health concern, and its strategies and impact should be clearly identified.

OBJECTIVE

This study examined how e-cigarette companies popularize their products via Weibo and identified the specific strategies influencing the effectiveness of their marketing.

METHODS

In phase 1, we conducted a search on Qcc.com and identified 32 e-cigarette brands with active Weibo accounts between October 1 and December 31, 2020, along with 863 Weibo posts. The data were investigated through content analysis. The codebook was developed into four categories: (1) product and features, (2) sales and promotions, (3) social contact and interaction, and (4) restrictions and warnings. To further understand the factors influencing e-cigarette brand marketing, we conducted a multiple linear regression analysis.

RESULTS

Marketing tactics by e-cigarette companies on Chinese social media were documented, including emphasizing attractive product features, using trendy characters, implicit promotions, downplaying health concerns, and engaging with Weibo users in various ways. Out of 863 posts, 449 (52%) mentioned product characteristics. In 313 (36.3%) posts, visible figures were used to attract attention. Product promotion was absent in 762 (88.3%) posts, and purchase channels were not mentioned in 790 (98.3%) posts. Social interaction-related posts received attention (n=548, 63.5%), particularly those featuring hashtag content (n=538, 62.3%). Most posts did not include claims for restrictions on teenagers' purchases or use (n=687, 79.6%) or information on health warnings (n=839, 97.2%). Multiple linear regression analysis identified marketing strategies that effectively increase the exposure of e-cigarette posts on Weibo. Posts including engagement via posts encouraging reposts, comments, and likes (P<.001) and engagement topics related to e-cigarette brands were positively correlated with the number of reposts (P=.009). Posts highlighting nonmonetary incentives (P=.004), posts with age restriction statements (P<.001), engaging via stories and idea collection (P<.001), and engagement topics related to products (P<.001) and current affairs (P=.002) had a positive effect on the number of comments. Engagement topics related to brands (P<.001) or interactive sweepstakes (P<.001) had a positive effect on the number of likes.

CONCLUSIONS

E-cigarette posts on Weibo that focus on product features and social interaction attract public attention, especially from teenagers. Stricter regulations and monitoring should be adopted to restrict the social media marketing of e-cigarettes.

New image, same tactics: global tobacco and vaping industry strategies to promote youth vaping

E-cigarette use (or vaping) is widespread in young people and is a rapidly growing public health problem. While the tobacco and vaping industry has promoted vaping as a smoking cessation aid for adults, the industry has strategically targeted young people through marketing and appealing designs to orientate a new generation of consumers to use their products. These strategies are not new and replicate what we have previously seen employed by the tobacco industry in past decades to maintain and grow their tobacco profits. We review the evidence on tobacco and vaping industry interference, highlighting the calculated and strategic use of interference tactics as a discourse to curb tobacco control efforts. We demonstrate how these tried and tested strategies are now being purposefully re-used in the context of vaping. As Australia is currently undergoing significant policy reforms for the access and retail of vaping products, we also provide a case study of the industry response played out in this contemporary landscape. Government and public health advocates are in a key position to be one step ahead in proactively tackling the vaping crisis. We recommend that continued monitoring of industry activities and strategies, achieving political transparency and tightening loopholes in current regulations are all needed to identify and eliminate the tobacco and vaping industry's influence on policymaking. Given their previous track record, we emphasize the need to counter industry interference tactics with urgency to prevent a new generation of nicotine dependence and to support and protect future action in tobacco control.

Assessment of Online Marketing and Sales Practices Among Recreational Cannabis Retailers in Five U.S. Cities

Background: With more states legalizing recreational cannabis, examining cannabis retail and marketing is crucial, as it may influence consumers' perceptions and behaviors. Particularly understudied is online cannabis retail. Methods: In Spring 2022, coders collected and analyzed data regarding retailer characteristics, age verification, and marketing strategies (e.g., product availability, health-related content, promotions, website imagery) among 195 cannabis retail websites in five U.S. cities (Denver, Colorado; Seattle, Washington; Portland, Oregon; Las Vegas, Nevada; Los Angeles, California). Descriptive analyses characterized the websites overall and across cities. Results: Overall, 80.5% verified age for website entry, and 92.8% offered online purchases (92.3% of retailers in Seattle, where prohibited). Of these, 82.9% required age verification for purchases, and 30.9% offered delivery. Almost all (>92%) offered flower/bud, concentrates, edibles, vaping devices, topicals, and tinctures. Health warnings were displayed on 38.3% of websites. Although all five states required health warnings regarding use during pregnancy, only 10.3% had these warnings. In addition, 59.0% posted some unsubstantiated health claims, most often indicating physical and mental health benefits (44.6%). Although Colorado, Washington, and Oregon prohibit health claims, 51.2-53.8% of these retailers posted them. Discounts, samples, or promotions were present on 90.8% of websites; 63.6% had subscription/membership programs. Subpopulations represented in website content included the following: 27.2% teens/young adults, 26.2% veterans, 7.2% sexual/gender minorities, and 5.6% racial/ethnic minorities. Imagery also targeted young people (e.g., 29.7% party/cool/popularity, 18.5% celebrity/influencer endorsement). Conclusions: Regulatory efforts are needed to better monitor promotional strategies and regulatory compliance (e.g., health claims, youth-oriented content, underage access) among online cannabis retailers.

Changes in online marketing and sales practices among non-medical cannabis retailers in 5 US cities, 2022 to 2023

Objectives

Given the evolving cannabis marketplace (e.g., products, marketing strategies), this study examined online cannabis marketing practices over time.

Methods

In 2022 and 2023, researchers assessed website content (e.g., age verification, sales, delivery, warnings, ad content, promotional strategies) among 175 randomly-selected cannabis retailers' websites across 5 US cities (Denver, Colorado; Seattle, Washington; Portland, Oregon; Las Vegas, Nevada; Los Angeles [LA], California, n=∼35/city). Analyses compared data from 2022 vs. 2023 and considered regulatory factors across cities.

Results

Similar to 2022, in 2023, 76.6 % required age verification for site entry, 85.1 % used social media promotion, and 90.9 % offered online sales (82.4 % of which required age verification and 34.6 % offered delivery). There were significant (p < .05) decreases from 2022 to 2023 in the proportions indicating medical card requirements (27.4 % to 15.4 %), purchase limits (59.4 % to 47.4 %), health warnings (38.9 % to 29.7 %), health benefits (60 % to 47.4 %), and discounts/price promotions (92.6 % to 86.3 %). In 2023, proportions differed across cities in ways reflecting whether state/local law allowed online sales (>90 % in Denver, Las Vegas, LA), allowed discounts/price promotions (100 % in Denver and Las Vegas), or required health warnings (48-60 % in Seattle and LA vs. < 20 % elsewhere). Despite all sites prohibiting youth-oriented content and all but Denver and Las Vegas prohibiting health claims, 30.3 % posted content targeting youth/young adults (LA = 8.1 % to Denver = 74.2 %) and 47.4 % health claims (Seattle = 27.0 % to Denver = 71.0 %).

Conclusions

Online cannabis retail presents risks for access and appeal to minors, emphasizes health benefits, and uses price promotions, regardless of restrictions, indicating need for greater regulatory efforts.

Topic prediction for tobacco control based on COP9 tweets using machine learning techniques

The prediction of tweets associated with specific topics offers the potential to automatically focus on and understand online discussions surrounding these issues. This paper introduces a comprehensive approach that centers on the topic of "harm reduction" within the broader context of tobacco control. The study leveraged tweets from the period surrounding the ninth Conference of the Parties to review the Framework Convention on Tobacco Control (COP9) as a case study to pilot this approach. By using Latent Dirichlet Allocation (LDA)-based topic modeling, the study successfully categorized tweets related to harm reduction. Subsequently, various machine learning techniques were employed to predict these topics, achieving a prediction accuracy of 91.87% using the Random Forest algorithm. Additionally, the study explored correlations between retweets and sentiment scores. It also conducted a toxicity analysis to understand the extent to which online conversations lacked neutrality. Understanding the topics, sentiment, and toxicity of Twitter data is crucial for identifying public opinion and its formation. By specifically focusing on the topic of "harm reduction" in tweets related to COP9, the findings offer valuable insights into online discussions surrounding tobacco control. This understanding can aid policymakers in effectively informing the public and garnering public support, ultimately contributing to the successful implementation of tobacco control policies.

E-cigarettes on Instagram: Exploring vape content via an Australian vaping influencer

INTRODUCTION

Mounting evidence suggests that electronic cigarettes (e-cigarettes) are extensively promoted and marketed using social media, including through user-generated content and social media influencers. This study explores how e-cigarettes are being promoted on Instagram, using a case-study approach, and the extent to which Meta's Restricted Goods and Services Policy (Meta's policy) is being applied and enforced.

METHODS

We identified the accounts followed by an Australian Instagram influencer who primarily posts e-cigarette-related content. The main foci of these 855 accounts were coded and 369 vaping-focused accounts were identified. These vaping-focused accounts were then further coded by two trained coders.

RESULTS

All (n=369; 100.0%) of the vape content posted by these accounts was positive in sentiment. One-third of the vape accounts (n=127; 34.4%) had a shared focus, indicating that vape content may permeate into other online communities through shared interests. A total of 64 accounts (17.3%) potentially violated Meta's policy by attempting to purchase, sell, raffle or gift e-cigarette products.

CONCLUSIONS

The findings of this study suggest that pro-vaping information is available and accessible on Instagram. Much of the content identified in this study promoted the purchase or gifting of e-cigarette products and potentially violates Meta's policy. Greater regulation and/or stronger enforcement of e-cigarette content on social media platforms such as Instagram is necessary to prevent the ongoing promotion of these harmful products.

Exposure to e-cigarette advertising and young people's use of e-cigarettes: A four-country study

INTRODUCTION

The World Health Organization recommends banning all forms of e-cigarette advertising, promotion, and sponsorship. The aims of the present study were to: 1) examine young people's exposure to e-cigarette advertising across a wide range of media in four diverse countries; and 2) identify any association between the number of different types of media exposures and e-cigarette use.

METHODS

A cross-sectional online survey was administered to approximately 1000 people aged 15-30 years in Australia, China, India, and the United Kingdom (n=4107). The survey assessed demographic characteristics, e-cigarette and tobacco use, numbers of friends and family members who vape, and exposure to multiple forms of e-cigarette advertising (e.g. television, radio, print, and various types of social media). Descriptive analyses were conducted on those who had heard of e-cigarettes (n=3095, significance threshold p<0.001) and a logistic regression analysis was used to identify factors associated with e-cigarette ever use (significance threshold p<0.05).

RESULTS

The majority (85%) of respondents who had heard of e-cigarettes reported being exposed to e-cigarette advertising on at least one type of media, and the average number of types of media to which respondents were exposed was 5 (range: 0-17). The number of media types was significantly associated with ever use of e-cigarettes (OR=1.05; 95% CI: 1.02-1.08, p=0.001).

CONCLUSIONS

Despite advertising restrictions in place in all four countries, large majorities of young people reported being exposed to e-cigarette advertising. Social media and advertising on/around vape shops and other retailers appear to be key exposure locations. Urgent attention is needed to address these forms of exposure given their apparent association with e-cigarette use.

Promotion of E-Cigarettes on TikTok and Regulatory Considerations

E-cigarettes are promoted extensively on TikTok and other social media platforms. Platform policies to restrict e-cigarette promotion seem insufficient and are poorly enforced. This paper aims to understand how e-cigarettes are being promoted on TikTok and provide insights into the effectiveness of current TikTok policies. Seven popular hashtag-based keywords were used to identify TikTok accounts and associated videos related to e-cigarettes. Posts were independently coded by two trained coders. Collectively, the 264 videos received 2,470,373 views, 166,462 likes and 3426 comments. The overwhelming majority of videos (97.7%) portrayed e-cigarettes positively, and these posts received 98.7% of the total views and 98.2% of the total likes. A total of 69 posts (26.1%) clearly violated TikTok's own content policy. The findings of the current study suggest that a variety of predominantly pro-vaping content is available on TikTok. Current policies and moderation processes appear to be insufficient in restricting the spread of pro-e-cigarette content on TikTok, putting predominantly young users at potential risk of e-cigarette use.

A content analysis of e-cigarette marketing on social media: Findings from the Tobacco Enforcement and Reporting Movement (TERM) in India, Indonesia and Mexico

Background

The use of e-cigarettes is proliferating globally, especially among youth and even children. Marketing is a known risk factor for e-cigarette initiation, yet little is known of e-cigarette marketing on social media in low- and middle-income countries. This study compares e-cigarette social media marketing in India, Indonesia, and Mexico, three such countries with different regulatory environments.

Methods

Instances of e-cigarette marketing on social media platforms were identified via the Tobacco Enforcement and Reporting Movement (TERM), a digital tobacco marketing monitoring system. Through systematic keyword-based searches, all tobacco marketing posts observed between 15 December 2021 and 16 March 2022 were included in the analysis. The final sample included 1,437 e-cigarette-related posts on Instagram, Facebook, Twitter, YouTube, and TikTok, which were systematically content analyzed by independent coders after inter-reliability (Cohen's Kappa K > 0.79) was established using a theory-derived codebook. The final data is represented in percentages and frequencies for ease of presentation.

Results

We observed e-cigarette marketing online in all countries studied, yet there was variation in the volume of marketing and types of accounts identified. In India, where e-cigarettes were comprehensively banned, we identified 90 (6%) posts; in Mexico, where e-cigarettes were partially restricted, 318 (22%) posts were observed; and in Indonesia, where there were no restrictions, 1,029 (72%) posts were observed. In both India and Mexico, marketing originated from retailer accounts (100%), whereas in Indonesia, it was primarily product brand accounts (86%). Across countries, e-cigarettes were mostly marketed directly to sell products (India: 99%, Indonesia: 69% and Mexico: 93%), though the sales channels varied. Product features, including e-liquid flavors, device colors and technical specifications, was the most prominent message framing (India: 86%; Mexico: 73%; Indonesia: 58%). Harm reduction messaging was most popular in Mexico (8%) and was not common in Indonesia (0.3%) or India (0%).

Conclusion

Our study provides important insights for tobacco control stakeholders on the evolving nature of e-cigarette marketing in low- and middle-income countries. It underscores the presence of e-cigarette marketing, including in countries where comprehensive regulations exist, and suggests the importance of continuous monitoring to keep up with industry practices and strengthen tobacco control stakeholder efforts to counter them.

Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series

Background

Electronic nicotine delivery systems (known as electronic cigarettes or e-cigarettes) increase risk for adverse health outcomes among naïve tobacco users, particularly youth and young adults. This vulnerable population is also at risk for exposed brand marketing and advertisement of e-cigarettes on social media. Understanding predictors of how e-cigarette manufacturers conduct social media advertising and marketing could benefit public health approaches to addressing e-cigarette use.

Objective

This study documents factors that predict changes in daily frequency of commercial tweets about e-cigarettes using time series modeling techniques.

Methods

We analyzed data on the daily frequency of commercial tweets about e-cigarettes collected between January 1, 2017, and December 31, 2020. We fit the data to an autoregressive integrated moving average (ARIMA) model and unobserved components model (UCM). Four measures assessed model prediction accuracy. Predictors in the UCM include days with events related to the US Food and Drug Administration (FDA), non-FDA-related events with significant importance such as academic or news announcements, weekday versus weekend, and the period when JUUL maintained an active Twitter account (ie, actively tweeting from their corporate Twitter account) versus when JUUL stopped tweeting.

Results

When the 2 statistical models were fit to the data, the results indicate that the UCM was the best modeling technique for our data. All 4 predictors included in the UCM were significant predictors of the daily frequency of commercial tweets about e-cigarettes. On average, brand advertisement and marketing of e-cigarettes on Twitter was higher by more than 150 advertisements on days with FDA-related events compared to days without FDA events. Similarly, more than 40 commercial tweets about e-cigarettes were, on average, recorded on days with important non-FDA events compared to days without such events. We also found that there were more commercial tweets about e-cigarettes on weekdays than on weekends and more commercial tweets when JUUL maintained an active Twitter account.

Conclusions

e-Cigarette companies promote their products on Twitter. Commercial tweets were significantly more likely to be posted on days with important FDA announcements, which may alter the narrative about information shared by the FDA. There remains a need for regulation of digital marketing of e-cigarette products in the United States.

Passive exposure to e-cigarette emissions is associated with worsened mental health

BACKGROUND

Cigarette smoking, secondhand cigarette smoke (SHS) exposure, and e-cigarette use ("vaping") are each associated with increased rates of depressive symptoms and other internalizing mental health disorders. The prevalence of vaping has increased greatly, yet the mental health correlates of secondhand exposure to e-cigarette emissions are as yet to be investigated. This study examined the potential adverse mental health outcomes associated with different tobacco exposures (direct and passive), with a particular focus on the mental health correlates of secondhand exposure to e-cigarette emissions.

METHODS

The Population Assessment of Tobacco and Health Study data collected from a sample of 16,173 Wave 4 adults were used to test the hypothesis that secondhand e-cigarette emissions exposure is associated with increased odds of internalizing mental health disorders. Individuals were categorized as exclusive cigarette smokers, exclusive e-cigarette users, cigarette and e-cigarette dual users, exclusive noncombustible tobacco users, secondhand smoke exposed non-users, secondhand e-cigarette emissions exposed non-users, and non-users with no current SHS/secondhand e-cigarette aerosol exposure. Adjusted weighted logistic regression analysis was used to investigate the association between exposure type and internalizing problems as assessed by scores on the Global Appraisal of Individual Needs-Short Screener (GAIN-SS), a widely used instrument for assessing mental health problems.

RESULTS

Cigarette smokers (AOR = 2.53, 95% CI: 2.19-2.92), e-cigarette users (AOR = 3.14, 2.41-4.09), dual users (AOR = 3.37, 2.85-4.00), noncombustible tobacco users (AOR = 1.48, 1.01-2.17), SHS exposed non-users (AOR = 1.63, 1.37-1.94), and secondhand e-cigarette emissions exposed non-users (AOR = 1.43, 1.03-1.99) were each associated with increased odds of moderate to severe internalizing mental health problems as compared to unexposed non-users. Odds of internalizing problems among SHS and secondhand e-cigarette emissions exposed non-users did not differ (p = 0.46).

CONCLUSIONS

This is the first study, to our knowledge, to identify an association between recent secondhand exposure to e-cigarette emissions and mental health problems, and the risk is comparable to that of SHS. Corroboration of this relationship needs further research to explicate directionality and mechanisms underlying this association.

Characterizing alternative and emerging tobacco product transition of use behavior on Twitter

OBJECTIVE

The objective of this study was to develop an inductive coding approach specific to characterizing user-generated social media conversations about transition of use of different tobacco and alternative and emerging tobacco products (ATPs).

RESULTS

A total of 40,206 tweets were collected from the Twitter public API stream that were geocoded from 2018 to 2019. Using data mining approaches, these tweets were then filtered for keywords associated with tobacco and ATP use behavior. This resulted in a subset of 5718 tweets, with 657 manually annotated and identified as associated with user-generated conversations about tobacco and ATP use behavior. The 657 tweets were coded into 9 parent codes: inquiry, interaction, observation, opinion, promote, reply, share knowledge, use characteristics, and transition of use behavior. The highest number of observations occurred under transition of use (43.38%, n = 285), followed by current use (39.27%, n = 258), opinions about use (0.07%, n = 46), and product promotion (0.06%, n = 37). Other codes had less than ten tweets that discussed these themes. Results provide early insights into how social media users discuss topics related to transition of use and their experiences with different and emerging tobacco product use behavior.

"Is it banned? Is it illegal?": Navigating Western Australia's regulatory environment for e-cigarettes

BACKGROUND

In Australia, there is no Federal legislation that directly applies to e-cigarettes, instead, several existing laws relating to poisons, therapeutic goods and tobacco control apply. Across all Australian States and Territories, it is illegal to sell nicotine-containing e-cigarettes, however, users can legally import nicotine-containing vaporisers through the Personal Importation Scheme. Western Australia differs from other Australian States and Territories in that products which resemble tobacco products are banned, effectively prohibiting the use of e-cigarettes. This study aimed to understand how e-cigarette users navigate Western Australia's regulatory environment to access vaping products and the health and safety issues encountered.

METHODS

Working from a constructionist epistemology and a symbolic interaction framework, in-depth interviews were conducted with a purposive sample of 37 current (89%) and former (11%) adult vapers (70% male, mean age of 32.5). Data was analysed via thematic analysis.

RESULTS

Vape retailers were said to be circumventing Western Australia's e-cigarette restrictions by selling the components of 'open system' devices that do not resemble a tobacco product when sold individually. Participants were unsure of the legality of importing, accessing and using nicotine and e-cigarettes, however, the majority continued to use nicotine-containing vaporisers and implemented strategies in an attempt to avoid detection and safeguard their health. The internet facilitated access to desired products, information on health and safety, and discussions of personal experiences.

CONCLUSIONS

The Australian Therapeutic Goods Administration has recently (21 December 2020) confirmed that from 1 October 2021 smokers who have tried quitting with other approved cessation pharmacotherapies will be required to obtain a prescription for nicotine-containing vaporiser products from a registered medical practitioner. The results of this study suggest further consideration of regulatory measures are however required to support the different characteristics of vapers and to mitigate the health and safety concerns experienced by e-cigarette users.