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

Gibson, Laura; Siegel, Leeann; Kranzler, Elissa C.; Volinsky, Allyson; O’Donnell, Matthew Brook; Williams, Sharon; Yang, Qinghua; Kim, Yoonsang; Binns, Steven; Tran, Hy; Epstein, Veronica Maidel; Leffel, Timothy; Jeong, Michelle; Liu, Jiaying; Lee, Stella; Emery, Sherry; Hornik, Robert

doi:10.1080/10810730.2019.1682724

Cited by 11 publications

(6 citation statements)

References 40 publications

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“…In addition to coding long-form texts for themes and valence, we differentiated texts that only dealt with the topic in passing (e.g., mentioning that someone was holding a cigarette, but not otherwise mentioning smoking) from those where tobacco was a more substantial issue for the text ( Gibson et al, 2019) . Assessment of valence could only be applied to “more than passing mention” long-form texts and only they are included in the analyses reported below.…”

Section: Methodsmentioning

confidence: 99%

“…The only exception was precision of YouTube anti-tobacco coding (0.60). This content analysis process is fully detailed elsewhere ( Gibson et al, 2019 ; Kim et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

“…While the behavioral beliefs pathway of effects is examined here, the test of the pathway through descriptive norm beliefs requires a different dataset. Analysis of the norms path requires coverage estimating the volume of norm information embodied in the coverage; that is, how often smoking is portrayed in the messages ( Gibson et al, 2019 ; Liu et al, 2019 ) rather than the volume of messages with positive or negative valence. Siegel et al (2022) present evidence for these effects.…”

Section: Conceptual Arguments Underpinning This Studymentioning

confidence: 99%

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

Hornik

Binns

Emery

et al. 2022

Journal of Communication

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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.

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Section: Methodsmentioning

confidence: 99%

“…The only exception was precision of YouTube anti-tobacco coding (0.60). This content analysis process is fully detailed elsewhere ( Gibson et al, 2019 ; Kim et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Section: Conceptual Arguments Underpinning This Studymentioning

confidence: 99%

See 1 more Smart Citation

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

Hornik

Binns

Emery

et al. 2022

Journal of Communication

Self Cite

View full text Add to dashboard Cite

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“…This development has enabled new forms of health communication that are more direct and engaging for users. Social media-based messaging has also led to unprecedented opportunities for optimizing and effectively delivering information to the masses via computationally heavy approaches such as A/B-testing, recommender systems, and targeting receiver characteristics or social network positions [5][6][7][8][9][10]. Social media can diffuse messages widely across the globe and deeply into interpersonal networks [11,12].…”

Section: The Potential Of Social Media Communication Campaigns To Rai...mentioning

confidence: 99%

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

Schmälzle¹,

Wilcox²

2022

J Med Internet Res

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Background Communication campaigns using social media can raise public awareness; however, they are difficult to sustain. A barrier is the need to generate and constantly post novel but on-topic messages, which creates a resource-intensive bottleneck. Objective In this study, we aim to harness the latest advances in artificial intelligence (AI) to build a pilot system that can generate many candidate messages, which could be used for a campaign to suggest novel, on-topic candidate messages. The issue of folic acid, a B-vitamin that helps prevent major birth defects, serves as an example; however, the system can work with other issues that could benefit from higher levels of public awareness. Methods We used the Generative Pretrained Transformer-2 architecture, a machine learning model trained on a large natural language corpus, and fine-tuned it using a data set of autodownloaded tweets about #folicacid. The fine-tuned model was then used as a message engine, that is, to create new messages about this topic. We conducted a web-based study to gauge how human raters evaluate AI-generated tweet messages compared with original, human-crafted messages. Results We found that the Folic Acid Message Engine can easily create several hundreds of new messages that appear natural to humans. Web-based raters evaluated the clarity and quality of a human-curated sample of AI-generated messages as on par with human-generated ones. Overall, these results showed that it is feasible to use such a message engine to suggest messages for web-based campaigns that focus on promoting awareness. Conclusions The message engine can serve as a starting point for more sophisticated AI-guided message creation systems for health communication. Beyond the practical potential of such systems for campaigns in the age of social media, they also hold great scientific potential for the quantitative analysis of message characteristics that promote successful communication. We discuss future developments and obvious ethical challenges that need to be addressed as AI technologies for health persuasion enter the stage.

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“…Information and communication technologies (ICTs) can play a vital role regarding an individual’s health. They range from interactive social media discussions influencing individuals’ medical perceptions (Peng et al 2019 ), to vital information delivered through mass media outlets (Gibson et al 2019 ), and health-related beliefs and behaviors portrayed on popular television series (Baglia and Foster 2015 ). The link between politician role models and health is of special significance.…”

Section: Media and Healthmentioning

confidence: 99%

Celebrity Politicians as Health-Promoting Role Models in the Media: the Cases of Vladimir Putin, Donald Trump, and Benjamin Netanyahu

Abdulaev

Shomron

2020

Int J Polit Cult Soc

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In recent years, scholars have increasingly revealed the importance of celebrities in society, among them celebrity politicians. These celebrities not only influence political attitudes but also serve as role models for many individuals. Yet, little is known regarding what types of role models' politicians serve as in the context of health. To fill this gap, we examined three influential contemporary political leaders: Vladimir Putin, Donald Trump and Benjamin Netanyahu, and the type of mediated role models each possibly comprise in the context of healthy living. By conducting a qualitative content analysis, we analyzed 90 articles from 2018 to 2019 from two leading newspapers in each of the three politician's countries, namely Russia, the USA, and Israel as well as the respective politician's Facebook pages. Our findings point to three types of potential role models' as political leaders: a health-promoting model (Putin), a hybrid model (Trump), and a model of non-existence (Netanyahu), as the literature points to mediated role models influencing individuals' beliefs and behaviors. This study contributes to the understanding of mediated types of role models' politicians potentially serve as in the context of health vital to people's personal health.

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

Cited by 11 publications

References 40 publications

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

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

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

Celebrity Politicians as Health-Promoting Role Models in the Media: the Cases of Vladimir Putin, Donald Trump, and Benjamin Netanyahu

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