{"title":"A Machine Learning Approach to Analyzing Main Topics and Sentiments in YouTube's Portrayal of HIV/AIDS in China.","authors":"Fei Kong, Songyu Jiang, Rebecca Kechen Dong, QinAo Wu","doi":"10.1080/10810730.2025.2597857","DOIUrl":"10.1080/10810730.2025.2597857","url":null,"abstract":"<p><p>Social media creates a hostile environment for HIV health communication, fostering anonymous and fast digital knowledge sharing. However, research on users' digital health comminution on China's HIV narrative on global social media platforms, such as YouTube, remains limited. To advance the communication of health information globally, this study analyzes 255 videos and 3,184 comments (2006-2024) to explore the discourse surrounding China's HIV/AIDS prevention measures on YouTube and provide support for optimizing public health communication strategies. The research employs web scraping techniques to extract metadata and applies methods such as word cloud analysis, keyword analysis, semantic analysis, sentiment analysis, and Latent Dirichlet Allocation (LDA) topic modeling. The results indicate that the main topics of public discussion focus on international cooperation, traditional medicine, and policy transparency. Semantic analysis reveals the impact of cultural factors on public perception. Sentiment analysis shows that positive sentiment is concentrated on prevention effectiveness and international cooperation, while negative sentiment focuses on policy transparency and insufficient information disclosure. The LDA analysis identifies five core themes: international cooperation, cultural factors, policy transparency, the role of traditional medicine, and the effectiveness of public health policies. The findings suggest that public perceptions of China's prevention measures are complex, highlighting the need to optimize communication strategies and improve policy transparency to enhance international recognition and support.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"1-11"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145668264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brian G Southwell, Nadine J Barrett, David Scales, Kasisomayajula Viswanath
{"title":"Misinformation About Science is a Systems-Level Dilemma.","authors":"Brian G Southwell, Nadine J Barrett, David Scales, Kasisomayajula Viswanath","doi":"10.1080/10810730.2026.2659240","DOIUrl":"10.1080/10810730.2026.2659240","url":null,"abstract":"<p><p>Following more than two years of investigation, meeting, and collaborative decision-making by a committee of experts representing a variety of backgrounds and perspectives, the National Academies of Sciences, Engineering, and Medicine recently published a Consensus Study Report entitled <i>Understanding and Addressing Misinformation about Science</i>. The report includes conclusions and recommendations for multi-sector action, several of which are highly relevant for medical and public health professionals, health information providers, and people who support communities through listening to health-related concerns.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":"31 4","pages":"191-193"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148308336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fredrik Svartdal Færevaag, Bente Kalsnes, Merete Kolberg Tennfjord, Marianne Molin
{"title":"Mapping the Landscape of Critical Health Literacy: A Comprehensive Scoping Review of Research Trends and Associations with Health Behaviors.","authors":"Fredrik Svartdal Færevaag, Bente Kalsnes, Merete Kolberg Tennfjord, Marianne Molin","doi":"10.1080/10810730.2025.2608161","DOIUrl":"10.1080/10810730.2025.2608161","url":null,"abstract":"<p><p>Critical health literacy (\"CHL\") is concerned the complex skills needed for critical evaluation of health information. It holds potential to enhance beneficial practices such as adherence to public health policies and general health behaviors. However, no previous study has given a comprehensive overview of existing research on CHL and its association with health behaviors. This scoping review addresses this gap by reviewing 167 articles on CHL identified through a comprehensive search strategy encompassing 11 databases. We observed significant growth in CHL research post 2019, with a high number of conceptual papers and instrument validations. Consistent with previous critiques, we also identified potential conceptual conflation. Notably, of the 167 articles, only 28 explicitly reported associations between CHL and health behaviors, most of which concerned patient populations. Among these 28 studies, the majority identified significant associations between CHL and various health behaviors, while others reported mixed results. Importantly, some indicated that CHL was associated with reduced health behaviors. This scoping review concludes that the current research landscape of CHL is broad and heterogeneous. It underscores the need for further investigation into the complex association between CHL and different health behaviors to better understand its potential in health communication and policy development.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"34-54"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145959709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Social Media for Public Health Communication to Young People: A Qualitative Study to Inform Emergency Preparedness.","authors":"Melody Taba, Julie Ayre, Kirsten McCaffery, Caitlin Blanch, Julie Leask, Andrew Wilson, Carissa Bonner","doi":"10.1080/10810730.2026.2613851","DOIUrl":"10.1080/10810730.2026.2613851","url":null,"abstract":"<p><p>The COVID-19 pandemic highlighted the role of social media for official health communication, especially for young people who rarely engage with other public health agency channels. This study explored the social media health communication experiences of health communicators and young people, during and outside the COVID-19 emergency. Semi-structured interviews were conducted with professional health communicators responsible for social media communication of Australian government health departments and young people aged 18-24 years (<i>n</i> = 21). Interviews were analyzed thematically using Framework Analysis. The results revealed health communicators faced challenges in their work, including organizational barriers and misinformation. Whilst the COVID-19 pandemic amplified these challenges, it also brought opportunities like innovation, streamlined approval systems and increased followership. Health communicators targeted young people by using channels popular with the age group and using trendy and engaging formats. Young people found these communications straightforward but not consistently engaging or humorous and recommended involving young people in future messaging to increase appeal. These findings highlight the need for further improvements in social media health communication to youth. Health communicators require increased support and mechanisms allowing innovation in future pandemics.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"55-64"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145966002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xia Zheng, Heidi Preis, Clare Whitney, Elizabeth Bojsza, Susmita Pati
{"title":"Reducing Burnout by Improving Interprofessional Communication: Insights from the Long-Term Evaluation of a Medical Improvisation Training Program.","authors":"Xia Zheng, Heidi Preis, Clare Whitney, Elizabeth Bojsza, Susmita Pati","doi":"10.1080/10810730.2026.2681656","DOIUrl":"10.1080/10810730.2026.2681656","url":null,"abstract":"<p><p>Burnout among healthcare professionals remains a pressing concern. Interprofessional communication - how healthcare professionals interact with each other - has emerged as a modifiable factor to reduce burnout, and medical improvisation training is a promising method to enhance communication. However, few interventions have evaluated long-term improvements in communication or explored the mechanisms linking interprofessional communication to burnout reduction. To fill this gap, we conducted a long-term evaluation of a medical improvisational training program. Clinical healthcare workers (<i>N</i> = 175) from a tertiary teaching hospital in the United States - who participated in a medical improv-based training designed to enhance interprofessional communication - completed baseline and long-term follow-up assessments. Results showed that individual communication skills improved significantly from baseline to follow-up (<i>p</i> < .001). Participants also reported a significant reduction in burnout (<i>p</i> = .02) at follow-up. Path analysis revealed that changes in both individual communication skills and group-level communication climate were positively associated with changes in professional fulfillment, which in turn predicted burnout reduction. These findings suggest that medical improvisation training can foster sustainable enhancement in interprofessional communication skills and buffer against burnout by enhancing healthcare workers' sense of professional fulfillment. Our evaluation highlights the importance of targeting both individual and group-level communication processes to promote clinician wellbeing.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"326-334"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148156860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond Rationality: Information Overload and Biased Perceptions of Lung Cancer Screening Among Middle-Aged Adults.","authors":"Miao He, Hongliang Chen, Yueying Chen, Xuewei Chen","doi":"10.1080/10810730.2026.2636812","DOIUrl":"10.1080/10810730.2026.2636812","url":null,"abstract":"<p><p>Lung cancer is the most common cancer with high mortality. This study examined the impact of information overload on biased perceptions and lung cancer screening intention. An online survey of middle-aged Chinese adults (<i>n</i>=534) revealed three main findings: (a) information overload was positively associated with excessive fear, perceived barriers, and distrust in healthcare providers; (b) optimistic bias, excessive fear, and perceived barriers were negatively related to lung cancer screening intention; and (c) interpersonal communication was identified as a key factor in mitigating information overload. Our study highlighted that, beyond rational decision-making, biased perceptions also exerted significant negative effects on health-protective behaviors. This finding complemented the Health Belief Model (HBM) and provided practical insights for improving cancer screening participation.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"113-123"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147306810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Magdalena Rosset, Tanja Fisse, Charlotte Schrimpff, Eva Baumann
{"title":"Clinical AI Applications in the Context of Cancer: Explaining Openness to Information and Consent to Use Through Risk Perceptions and Efficacy Beliefs.","authors":"Magdalena Rosset, Tanja Fisse, Charlotte Schrimpff, Eva Baumann","doi":"10.1080/10810730.2026.2636816","DOIUrl":"10.1080/10810730.2026.2636816","url":null,"abstract":"<p><p>The use of artificial intelligence (AI) in oncology holds immense potential for improving diagnostic accuracy and treatment outcomes. Yet, concerns about potential risks need to be addressed. To improve acceptance, understanding, and trust, it is crucial to provide individuals with accurate information about AI in medicine. Building on the Risk Perception Attitude Framework (RPA), this study examines how combinations of AI-related risk perceptions and AI-information efficacy beliefs shape individuals' openness to information and consent to the use of AI-assisted cancer care. Data from an online survey of the German population stratified by age, gender, and education (<i>n</i> = 3,274) were segmented into four groups based on different patterns of AI-related risk perceptions and AI-information efficacy beliefs using the RPA framework. Results show significant differences in information-seeking intentions and willingness to consent to the use of AI in oncology care across groups. Our study extends the RPA framework to technological innovations in medicine and offers implications for targeted strategies for health communication campaigns aimed at improving acceptance of AI use in oncology.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"124-133"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147306876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas H Zhang, Ran Tao, Yidi Wang, Jiaying Liu, Shiwen Wu, Sijia Yang
{"title":"Identifying Persuasive Visual Features within Tobacco Pictorial Warnings: Effects on Anticipated Loss of Face, Gifting, and Refrain Intentions Among Chinese Men Who Smoke.","authors":"Thomas H Zhang, Ran Tao, Yidi Wang, Jiaying Liu, Shiwen Wu, Sijia Yang","doi":"10.1080/10810730.2026.2659918","DOIUrl":"10.1080/10810730.2026.2659918","url":null,"abstract":"<p><p>Pictorial warnings (PWs) have proven effective as a tobacco control strategy, particularly when implemented as warning labels on cigarette packages. However, China's adoption of PWs on cigarette packages has been delayed, and it remains unclear which thematic categories and specific visual features within PWs would influence outcomes that are culturally sensitive in Chinese societies. Culturally sensitive outcomes (CSOs), including anticipated loss of face, intention to gift cigarettes in social settings, and intention to refrain from smoking after exposure, reflect concerns deeply embedded in Chinese social norms. Using a large set of 510 unique PWs (K = 510) randomly evaluated by 2,306 adult male smokers in China (<i>N</i> = 2,306), we examined which visual features predict these three CSOs. Each participant viewed six randomly presented PWs. The experimental data were merged with manually coded content features across 24 dimensions after recounting all the features and esthetic visual characteristics of each PW extracted through computer vision analysis. Multilevel regression models revealed that thematic categories, including oral health, fertility health, and cardiovascular health, as well as specific visual elements like depictions of diseased organs and medical equipment, consistently predicted all three outcomes. The effects of other features varied. Findings provide insights for designing tobacco control campaigns and implementing cigarette package warning labels in China. Our results show the importance of tailoring PWs to resonate with culturally specific concerns in tobacco control messaging, offering important implications for pictorial warnings targeting Chinese male smokers.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"244-254"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147674051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Use and Efficacy of Conversational AI in Health Management: An Integrative Review.","authors":"Zhikun Wang, Syafila Kamarudin","doi":"10.1080/10810730.2026.2682496","DOIUrl":"10.1080/10810730.2026.2682496","url":null,"abstract":"<p><p>Conversational artificial intelligence (AI) is increasingly being integrated into the field of health communication. Existing research largely evaluates these technologies in terms of usability, technical performance, or behavioral outcomes, with less attention paid to the communication processes that drive these outcomes. To fill this research gap, this review provides a comprehensive analysis of empirical research on conversational AI from a health communication perspective. Based on a theory-oriented integrative review of 65 studies, this study focuses on the mechanisms by which conversational AI plays a role in health interactions and the reasons for differences in communication outcomes across different contexts. This review uses a thematic synthesis approach to identify four core communication roles of conversational AI in health communication: information communicator, behavioral interventionist, emotional supporter, and service mediator. Beyond identifying these roles, the findings reveal significant differences in reported communication outcomes. To explain these differences, this study constructs a Conversational AI-Mediated Health Communication (CA-MHC) framework. This framework conceptualizes conversational AI as a mediated communication agent whose impact depends on the fit between its communication role and four dimensions of communication configuration: interaction pattern, relationship strength, temporal orientation, and institutional embedding. This study also provides a conceptual foundation for understanding when and why conversational AI can support or hinder effective health communication. Furthermore, the CA-MHC framework provides guidance for the future theoretical development and empirical research of AI-mediated health interactions.</p>","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"288-300"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148217812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scott C Ratzan, Rebecca K Ivic, Kenneth H Rabin, Ruth M Parker, Sara Rubinelli, Rafael Obregon, Lawrence O Gostin, Michael G Baker, Samantha Thomas, Don Nutbeam, Ilona Kickbusch, J Gregory Payne, Vivianne Ihekweazu, Kirsten J McCaffery, Richard L Street, Sir Cary Cooper
{"title":"Safeguarding Quality in Health and Medical Science Information Today.","authors":"Scott C Ratzan, Rebecca K Ivic, Kenneth H Rabin, Ruth M Parker, Sara Rubinelli, Rafael Obregon, Lawrence O Gostin, Michael G Baker, Samantha Thomas, Don Nutbeam, Ilona Kickbusch, J Gregory Payne, Vivianne Ihekweazu, Kirsten J McCaffery, Richard L Street, Sir Cary Cooper","doi":"10.1080/10810730.2026.2655422","DOIUrl":"10.1080/10810730.2026.2655422","url":null,"abstract":"","PeriodicalId":16026,"journal":{"name":"Journal of Health Communication","volume":" ","pages":"285-287"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147633362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}