{"title":"Crafting effective health appeals: Language and source credibility in amplifying tobacco control messages on social media.","authors":"Dhruven R Zala, Athi Karthick V, Arun Sreekumar","doi":"10.1080/07359683.2025.2504813","DOIUrl":null,"url":null,"abstract":"<p><p>Amplification of informational social media posts are crucial for disseminating tobacco control messages as part of an integrated behavior change strategy. Our study explores the amplification effectiveness of fear-based, trust-based, and linguistically complex framing for tobacco control appeals from credible sources and in general. Analyzing 42,261 tweets from 102 accounts using natural language processing techniques, we found fear-based (38.75%) and complex appeals (31.53%) increased retweets, while trust-based decreased them (-37.28%). Credible sources amplified trust-based (58.98%) and fear-based (69.58%) appeals but reduced the amplification of complex messages (-11.01%). Consequently, we highlight the need for strategic framing of tobacco control messages for greater impact.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":" ","pages":"1-25"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Marketing Quarterly","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07359683.2025.2504813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0
Abstract
Amplification of informational social media posts are crucial for disseminating tobacco control messages as part of an integrated behavior change strategy. Our study explores the amplification effectiveness of fear-based, trust-based, and linguistically complex framing for tobacco control appeals from credible sources and in general. Analyzing 42,261 tweets from 102 accounts using natural language processing techniques, we found fear-based (38.75%) and complex appeals (31.53%) increased retweets, while trust-based decreased them (-37.28%). Credible sources amplified trust-based (58.98%) and fear-based (69.58%) appeals but reduced the amplification of complex messages (-11.01%). Consequently, we highlight the need for strategic framing of tobacco control messages for greater impact.
期刊介绍：
Health Marketing Quarterly is directed at academicians and practitioners who are concerned with the concepts, practice, and research of health care marketing in today"s complex environment. The journal addresses important contemporary issues in the use of marketing by health care organizations like hospitals, individual practitioners, and public health care organizations. This includes the use of marketing to promote, position, deter, enhance health care organizations/issues, and the development of the marketing literature on both a conceptual and empirical basis.
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