Modification Mechanisms of Descriptive Norm Perceptions Toward Vaping: The Role of Behavior Prevalence and Group Size in an Online Setting.

We often rely on descriptive norm perceptions as a mental shortcut for decision making. However, less is known about how such perceptions are shaped and modified by our experiences in day-to-day life. The interactive nature of the current media environment offers opportunities for individuals to access others' health behavior choices through online user-generated content. Within a setting of online comment boards, the current study examined the descriptive norm perception modification process toward vaping with a large-scale experiment that systematically varied levels of exposure to online commenters' vaping behavior choice indications. Findings revealed a significant positive effect of behavior prevalence on descriptive norm perceptions, which in turn were positively associated with vaping intention. This set of results was observed only when a sufficient total amount of comment exposures was ensured. The study provided empirical evidence for the underlying mechanism of the "quasi-statistical sense," which helps people draw conclusions about behavior prevalence and may influence their behavioral decision making. Theoretical and practical implications are discussed.

Should Communication Campaigns Promoting Vaccination Address Misinformation Beliefs? Implications from a Nationally Representative Longitudinal Survey Study among U.S. Adults.

Public health communication campaign planners must carefully consider whether misinformation beliefs are important to target and, ideally, correct. Guided by the reasoned action approach, we hypothesized that behavior-specific beliefs regarding COVID-19 vaccination would account for any observed relationship between general coronavirus misinformation beliefs (misinformation beliefs that are not specific to the anticipated consequences of COVID-19 vaccination) and subsequent vaccine uptake. To test our hypothesis, we used panel data from a two-wave nationally representative sample of U.S. adults pre- and post-vaccine availability (T1: July 2020, T2: April/June 2021, analytic sample: n = 665). Contrary to our hypothesis, we find a residual observed relationship between general coronavirus misinformation beliefs and subsequent vaccine uptake (AOR = 0.40, SE = 0.10). Intriguingly, our post-hoc analyses do show that after also adjusting for T2 behavioral beliefs, this association was no longer significant. With this and other justifications, we recommend that messages promoting vaccination prioritize targeting relevant behavioral beliefs.

Comparing belief in short-term versus long-term consequences of smoking and vaping as predictors of non-use in a 3-year nationally representative survey study of US youth.

INTRODUCTION: Efforts to prevent youth tobacco use are critical to reducing smoking-related deaths in the USA. Anti-tobacco messaging often focuses on the severe long-term consequences of smoking (eg, fatal lung disease, cancer). It is unclear whether these long-term consequences are more likely to deter youth use than shorter term consequences (eg, headaches, friend disapproval). METHODS: A nationally representative 3-year rolling survey of adolescents and young adults (ages 13-26 years) measured belief in potential consequences of two types of tobacco products: combustible cigarettes (n=11 847) and electronic cigarettes (n=4470) as well as intentions and current use. Independent coders classified 23 consequences as either short or long term. Logistic regression tested the associations between short-term (vs long-term) beliefs and current intentions, as well as non-smoking behaviour at 6-month follow-up. RESULTS: Believing in both short-term and long-term consequences was associated with outcomes, but short-term beliefs were more highly associated with anti-smoking (OR=1.40, 95% CI (1.30 to 1.51)) and anti-vaping (OR=2.10, 95% CI (1.75 to 2.52)) intentions and better predicted non-smoking behaviour at follow-up, controlling for prior use (OR=1.75, 95% CI (1.33 to 2.31)). CONCLUSIONS: These results support temporal discounting by adolescents and young adults and suggest health communication efforts aiming to reduce youth tobacco use should emphasise shorter term consequences.

Strengthened belief in vaccine effectiveness predicted increased COVID-19 vaccination intention and behaviour: Results from a nationally representative longitudinal survey of U.S. adults from July 2020 to April/May 2021.

Vaccine hesitancy remains a major barrier to ending the COVID-19 pandemic in the United States (U.S.) and an important target for communication interventions. Using longitudinal survey data, we examined whether baseline levels and changes in beliefs about the COVID-19 vaccines predicted change in vaccination intention/behaviour. Repeated measures were collected from a nationally representative sample of U.S. adults (n = 665) in July 2020 and April/June 2021. Linear regressions associated change in COVID-19 vaccination intention/behaviour with changes in beliefs about the COVID-19 vaccines' safety, effectiveness in protecting others from infection, and effectiveness in protecting oneself from infection. Changes in beliefs from T1 to T2 were significantly associated with change in vaccination outcomes for all belief types (safety B = 0.39, SE = 0.07; effectiveness for self B = 0.38, SE = 0.09; effectiveness for others B = 0.43, SE = 0.07). Cross-lagged models suggested a reciprocal causal relationship between pro-vaccine beliefs and vaccination intention/behaviour: Intention to get vaccinated at T1 predicted strengthened safety and effectiveness beliefs at T2. T1 effectiveness beliefs predicted T2 vaccination intention/behaviour, though T1 safety beliefs did not. Communication interventions highlighting the protective benefits of COVID-19 vaccines may be particularly successful in reducing vaccine hesitancy.

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.

Rating the Valence of Media Content about Electronic Cigarettes Using Crowdsourcing: Testing Rater Instructions and Estimating the Optimal Number of Raters.

Electronic cigarettes (e-cigarettes) are a controversial public health topic due to their increasing popularity among youth and the uncertainty about their risks and benefits. Researchers have started to assess the valence of media content about e-cigarette use, mostly using expert coding. The current study aims to offer a methodological framework and guideline when using crowdsourcing to rate the valence of e-cigarette media content. Specifically, we present (1) an experiment to determine rating instructions that would result in reliable valence ratings and (2) an analysis to identify the optimal number of raters needed to replicate these ratings. Specifically, we compared ratings produced by crowdsourced raters instructed to rate from several different perspectives (e.g., objective vs. subjective) and determined the instructions that led to reliable ratings. We then used bootstrapping methods and a set of criteria to identify the minimum number of raters needed to replicate these ratings. Results suggested that when rating e-cigarette valence, instructing raters to rate from their own subjective perspective produced reliable results, and nine raters were deemed the optimal number of raters. We expect these findings to inform future content analyses of e-cigarette valence. The study procedures can be applied to crowdsourced content analyses of other health-related media content to determine appropriate rating instructions and the number of raters.

Association of COVID-19 Misinformation with Face Mask Wearing and Social Distancing in a Nationally Representative US Sample.

Wide-spread misinformation about the COVID-19 pandemic has presented challenges for communicating public health recommendations. Should campaigns to promote protective behaviors focus on debunking misinformation or targeting behavior-specific beliefs? To address this question, we examine whether belief in COVID-19 misinformation is directly associated with two behaviors (face mask wearing and social distancing), and whether behavior-specific beliefs can account for this association and better predict behavior, consistent with behavior-change theory. We conducted a nationally representative two-wave survey of U.S. adults from 5/26/20-6/12/20 (n = 1074) and 7/15/20-7/21//20 (n = 889; follow-up response 83%). Scales were developed and validated for COVID-19 related misinformation beliefs, social distancing and face mask wearing, and beliefs about the consequences of both behaviors. Cross-lagged panel linear regression models assessed relationships among the variables. While belief in misinformation was negatively associated with both face mask wearing (B = -.27, SE =.06) and social-distancing behaviors (B = -.46, SE =.08) measured at the same time, misinformation did not predict concurrent or lagged behavior when the behavior-specific beliefs were incorporated in the models. Beliefs about behavioral outcomes accounted for face mask wearing and social distancing, both cross-sectionally (B =.43, SE =.05; B =.63, SE =.09) and lagged over time (B =.20, SE = 04; B =.30, SE =.08). In conclusion, belief in COVID-19-related misinformation is less relevant to protective behaviors, but beliefs about the consequences of these behaviors are important predictors. With regard to misinformation, we recommend health campaigns aimed at promoting protective behaviors emphasize the benefits of these behaviors, rather than debunking unrelated false claims.

A Toxic Blend: Assessing the Effects of Cross-Source Media Coverage of Flavored E-Cigarettes on Youth and Young Adult Perceptions.

Flavored e-cigarettes have received high attention across social and news media. How does exposure to e-cigarette flavors across multiple sources in the media environment influence youth e-cigarette perceptions? To address this question, we identified e-cigarette flavor mentions on 24.3 million Twitter posts and 11,691 longform texts (newspapers, broadcast news, and websites) disseminated over 3 years (2014-2017). During the same period, we measured e-cigarette beliefs through a nationally representative randomly sampled rolling survey of 13-26-year-olds (N = 4,470, 1013 days). We estimated the association between flavor-specific content on Twitter and longform sources in the 28 days prior to each survey date and perceptions that e-cigarettes taste good. The interaction of coverage on Twitter and longform sources was significantly associated with more favorable perceptions of e-cigarette taste (OR = 1.21; 95% CI, 1.04-1.41); the main effects of each source type were not significant. This study presents a novel approach to evaluating the effects of cross-source coverage in today's complex media landscape and may strengthen claims for media influence on e-cigarette use.

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.

Exploring the Effect of Health App Use on Fruit and Vegetable Consumption.

People may use multiple health apps at the same time or in close sequence, and the effect of health apps may vary across different socioeconomic groups. However, in the context of healthy eating, studies have focused on the effect of using a single health app. This study aims to test the relationship of using multiple health apps with fruit and vegetable consumption, assessing moderation by education level. Employing longitudinal survey data from South Korean adults, we conducted regression analyses to test the lagged association between use of health apps and intake of fruits and vegetables, and whether education moderates the relationship. The results supported the positive lagged relationship of health app use with fruit and vegetable consumption, significant after controlling for confounders and baseline fruit and vegetable consumption. The association was smaller among respondents with higher education. Our findings suggest the positive effect of using multiple health apps on fruit and vegetable consumption, implying the importance of finding the best combination of health apps to maximize their effectiveness in promoting healthy eating. Also, the negative interaction of health app use and education support using mobile communication technology to improve the public health of low socioeconomic status individuals.

Breadth of Media Scanning Leads to Vaping among Youth and Young Adults: Evidence of Direct and Indirect Pathways from a National Longitudinal Survey.

Electronic cigarette use among youth and young adults has reached an epidemic proportion of growth. This study examined the direct and indirect effects of the breadth of media scanning about e-cigarette use on subsequent vaping behavior through interpersonal communication and changes in descriptive norm perceptions. We conducted a nationally representative longitudinal phone survey of 13- to 25-year-olds from June 2014 to March 2017, with 11,013 respondents who completed a baseline survey, among which 3,212 completed a follow-up 6 months later. The results from both cross-sectional and lagged analyses provided robust evidence to suggest that passive routine exposure to e-cigarette use content from more media outlets predicted increased likelihood of vaping among youth and young adults. High scanners were about twice as likely to vape as non-scanners (17% versus 9%). Mediation models using bootstrapping procedures found that breadth of scanning predicted higher descriptive norm perceptions which were associated with subsequent vaping; in addition, interpersonal communication mediated the relationship between breadth of scanning and changes in descriptive norm perceptions. These findings highlight the important roles of scanning, norm perceptions and interpersonal discussions in shaping cognition and behavior changes. The results also suggest an overall pro-e-cigarette public communication environment, which warrants further examination.

An Investigation of Low COVID-19 Vaccination Intentions among Black Americans: The Role of Behavioral Beliefs and Trust in COVID-19 Information Sources.

Developing a COVID-19 vaccine is a critical strategy for combatting the pandemic. However, for vaccination efforts to succeed, there must be widespread willingness to vaccinate. Prior research has found that Black Americans, who are disproportionately impacted by COVID-19, report lower intentions to get a vaccine than do other populations. We investigate two potential contributors to this disparity: COVID-19 vaccine-related behavioral beliefs and trust in four COVID-19 information sources (mainstream media, social media, President Trump, and public health officials and agencies). Using a nationally-representative survey (n= 889), we demonstrate that differences in vaccination beliefs explain the lower vaccination intentions reported by Black participants, compared to non-Black participants. However, while trust in information sources is associated with vaccination beliefs, differences in trust do not account for the observed differences in vaccination beliefs by race. Furthermore, we find that race moderates the relationships between trust in two sources (Trump and public health officials and agencies) and vaccination beliefs. The effects of trusting these sources on COVID-19 vaccine-related beliefs are smaller among Black participants; thus trust in these sources is less consequential to their pro-vaccination beliefs. Our results suggest that trust in information sources alone does not explain the observed relationship between race and vaccination beliefs.

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.

The Relationship Between Exogenous Exposure to "The Real Cost" Anti-Smoking Campaign and Campaign-Targeted Beliefs.

Though previous evaluations of "The Real Cost" anti-smoking campaign demonstrate effects on anti-smoking beliefs and behaviors, results rely on self-reported recall as a measure of exposure and are thus open to reverse causation concerns. Exogenous measures of exposure, assessed independently of outcomes, support stronger causal inferences. In this study, we examined the relationship between Target Rating Points (TRPs) for specific ads available over four-week periods and anti-smoking beliefs in a national sample of adolescent nonsmokers and experimenters (n = 4,780). Results demonstrate positive relationships between TRPs for ads targeting two of four belief categories tested (Control and Chemical; p < .05) and targeted-belief endorsement. Furthermore, moderation models indicate that ad-specific TRPs affected targeted beliefs more than non-targeted beliefs for those Control- and Chemical-targeted ads (p < .01). Findings support a claim of campaign effects while reducing concerns about reverse causal direction and the influence of unmeasured confounders.

Validating the Hornik & Woolf approach to choosing media campaign themes: Do promising beliefs predict behavior change in a longitudinal study?

Hornik and Woolf (1999) proposed using cross-sectional survey data to prioritize beliefs to address with communication campaign messages. The empirical component of the approach combines evidence of (1) association of beliefs with intentions and (2) current level of beliefs to calculate a 'percentage to gain' as the potential promise of a belief. However, the method relies on cross-sectional data; its conclusions are open to challenge. Here, a panel study assesses whether the calculated promise of a belief actually predicts future behavior change. A nationally representative sample of 3,204 U.S. youth and young adults were interviewed twice, six months apart. Sixteen beliefs about the benefits and costs of smoking cigarettes are compared with regard to their percentage to gain (calculated from cross-sectional data) and their ability to account for subsequent cigarette use. A belief's cross-sectional percentage to gain is substantially associated with its ability to predict subsequent behavior change (r=.53, p<.05).

Identifying Potential Campaign Themes to Prevent Youth Initiation of E-Cigarettes.

Once a target audience and a health behavior of interest are selected for a potential mass media campaign, the next task is selecting beliefs about the health behavior to serve as the basis for campaign message content. For novel health behaviors, such as the use of emerging tobacco products, limited empirical research on beliefs about these behaviors exists. A multimethod approach was applied to generate potential campaign beliefs for emerging behaviors. Three methods were conducted in this investigation in order to generate a list of potential testable campaign beliefs, using youth e-cigarette use as a case study: (1) a search of published and unpublished literature including gathering measures from several national surveys (through 2016), (2) an online elicitation survey (conducted in 2016), and (3) unsupervised topic modeling of media texts (from 2014 to 2015, analyzed in 2016). Details are provided on how each method was employed to both generate and prioritize beliefs related to youth e-cigarette use into a final set of 115 beliefs across 23 belief themes. This multimethod approach can provide four utilities when thinking through a health campaign for novel health behaviors: (1) developing an exhaustive and complementary list of beliefs, (2) generating overarching themes and distilling larger themes into more nuanced beliefs, (3) identifying language most relevant to the target population, and (4) prioritizing beliefs for message pilot testing with members of the target audience. SUPPLEMENT INFORMATION: This article is part of a supplement entitled Fifth Anniversary Retrospective of "The Real Cost," the Food and Drug Administration's Historic Youth Smoking Prevention Media Campaign, which is sponsored by the U.S. Food and Drug Administration.

Does Seeking e-Cigarette Information Lead to Vaping? Evidence from a National Longitudinal Survey of Youth and Young Adults.

Youth and young adults (YYAs) are vulnerable populations for e-cigarette use or vaping. This study examined the effect of YYAs' health information seeking behavior (HISB) around e-cigarette use and vaping on their subsequent vaping behavior. We conducted a nationally representative longitudinal phone survey of 13-25 year olds from June 2014 to September 2016, with 2,413 respondents who completed a baseline and follow-up survey six months later. The results from lagged logistic regressions and mediation analyses showed a) that information seeking predicted higher likelihood of vaping six months later even after controlling for baseline smoking and vaping status, intention to vape, and demographics, and b) that information seeking partially mediated the relationship between intention to vape and subsequent vaping behavior. Theoretical and regulatory implications are discussed.

Message-Elicited Brain Response Moderates the Relationship Between Opportunities for Exposure to Anti-Smoking Messages and Message Recall.

Campaign success is contingent on adequate exposure; however, exposure opportunities (e.g., ad reach/frequency) are imperfect predictors of message recall. We hypothesized that the exposure-recall relationship would be contingent on message processing. We tested moderation hypotheses using 3 data sets pertinent to "The Real Cost" anti-smoking campaign: past 30-day ad recall from a rolling national survey of adolescents aged 13-17 (n = 5,110); ad-specific target rating points (TRPs), measuring ad reach and frequency; and ad-elicited response in brain regions implicated in social processing and memory encoding, from a separate adolescent sample aged 14-17 (n = 40). Average ad-level brain activation in these regions moderates the relationship between national TRPs and large-scale recall (p < .001), such that the positive exposure-recall relationship is more strongly observed for ads that elicit high levels of social processing and memory encoding in the brain. Findings advance communication theory by demonstrating conditional exposure effects, contingent on social and memory processes in the brain.

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.