{"title":"The Triumph of Substance: Decoding the \"Functional Infotainment\" Model for Sex Education on Douyin.","authors":"You Shi, Hao Gao","doi":"10.3390/bs15091226","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>In the digital age, short-video platforms are key channels for adolescents' sex education, yet content strategies and their effects remain unclear. This study analyzes Douyin using an integrated source-content-effect framework, identifies infotainment strategies by creator type, and examines their impact on interaction and topic engagement.</p><p><strong>Methods: </strong>Quantitative content analysis of 465 sex-education videos. Content was coded on informational and entertainment value. Four information-entertainment combinations were tested. Engagement outcomes (likes, comments, favorites, shares) were modeled with negative binomial regression; the likelihood that comments were sex-education-related was modeled with logistic regression. Creator type (medical professionals vs. individual creators) entered as a covariate.</p><p><strong>Results: </strong>A functional-infotainment pattern emerged. High information-high entertainment performed best across all interaction metrics. Low information-high entertainment (pure entertainment) performed worst, significantly suppressing deeper engagement and topical discussion. Medical professionals emphasized medicalized, low-risk knowledge; individual creators covered more diverse topics yet likewise avoided sensitive issues.</p><p><strong>Conclusions: </strong>Under algorithmic incentives and cultural norms, Douyin's sex-education content is not entertainment-first. Dissemination is driven by information-rich content delivered through a functional-infotainment model. Findings refine infotainment theory and offer data-driven guidance: prioritize informational value while pairing it with engaging forms (creators), support high-information content and proactive governance (platforms), and inform education policy.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"15 9","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12466664/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral Sciences","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3390/bs15091226","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: In the digital age, short-video platforms are key channels for adolescents' sex education, yet content strategies and their effects remain unclear. This study analyzes Douyin using an integrated source-content-effect framework, identifies infotainment strategies by creator type, and examines their impact on interaction and topic engagement.
Methods: Quantitative content analysis of 465 sex-education videos. Content was coded on informational and entertainment value. Four information-entertainment combinations were tested. Engagement outcomes (likes, comments, favorites, shares) were modeled with negative binomial regression; the likelihood that comments were sex-education-related was modeled with logistic regression. Creator type (medical professionals vs. individual creators) entered as a covariate.
Results: A functional-infotainment pattern emerged. High information-high entertainment performed best across all interaction metrics. Low information-high entertainment (pure entertainment) performed worst, significantly suppressing deeper engagement and topical discussion. Medical professionals emphasized medicalized, low-risk knowledge; individual creators covered more diverse topics yet likewise avoided sensitive issues.
Conclusions: Under algorithmic incentives and cultural norms, Douyin's sex-education content is not entertainment-first. Dissemination is driven by information-rich content delivered through a functional-infotainment model. Findings refine infotainment theory and offer data-driven guidance: prioritize informational value while pairing it with engaging forms (creators), support high-information content and proactive governance (platforms), and inform education policy.