Megan A Rabin,Sarah Penuela-Wermers,Neil K R Sehgal et al.
Megan A Rabin et al.
Background: As the prospect of an HIV vaccine nears reality, understanding public discourse around the vaccine is essential for informing communication strategies and addressing misinformation. Social media platforms are ...
Emotional Expression and Mental Health Support in BTS Fandom Communities: A Natural Language Processing Study on YouTube Comments [0.03%]
基于YouTube评论的情感表达与心理健康支持——以防弹少年团粉丝社区为例的自然语言处理研究
Nari Yoo,Aaron Rodwin,Michael Park et al.
Nari Yoo et al.
Background: The global rise of K-pop, particularly the influence of BTS-a South Korean boy band with over 90 million international fans known as ARMY-has shaped youth culture and online communities. Music fandoms are incr...
Audience-Specific Health Communication: Mixed Methods Evaluation of the Maria Ciência AI-Assisted Knowledge Translation Tool [0.03%]
面向受众的健康传播：玛丽亚·Ciência人工智能辅助知识转化工具的混合方法评估
Mariana Araújo-Pereira,Klauss Villalva-Serra Jr,Gustavo Pires-Ramos et al.
Mariana Araújo-Pereira et al.
Background: Scientific misinformation remains a major barrier to effective health communication. Bridging the gap between academic research and public understanding requires tools that simplify scientific language and ada...
Nonnegotiable Symbolic Value and Sugar-Driven Food Habits in Indonesia: Mixed Methods Study Using a Digital Sociological Approach [0.03%]
印度尼西亚糖驱动型食品习惯的非谈判象征性价值的混合方法研究：使用数字社会学方法的研究
Ewina Efriani Manik,Sudarsono Hardjosoekarto,Ricardi Adnan et al.
Ewina Efriani Manik et al.
Background: The sugar market in Indonesia reflects the distinct consumer behavior shaped by economic and deeply rooted cultural factors. This study explores how symbolic values attached to sugar sustain persistent, often ...
The Impact of Social Media Videos on Quantitative Health Outcomes: Systematic Review [0.03%]
社交媒体视频对量化健康结果的影响：系统综述
Fangyue Chen,Tricia Tay,Hannah Thould et al.
Fangyue Chen et al.
Background: Social media has transformed the landscape of health communication. Video content can optimally activate our cognitive systems, enhance learning, and deliver accessible information. Evidence has suggested the ...
Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data [0.03%]
基于社交媒体数据的自动化 opi 出现使用风险评估：预训练变压器模型分析
Muhammad Ahmad,Rita Orji,Maaz Amjad et al.
Muhammad Ahmad et al.
Background: The illegal use of opioids has emerged as a major global public health concern, contributing to widespread addiction and a growing number of overdose-related deaths. In response, the US federal government has ...
Leveraging AI for Analysis of Digital Health Information on Cancer Prevention Among Arab Youth and Adults: Content Analysis [0.03%]
利用人工智能分析阿拉伯青年和成人数字健康信息中的癌症预防内容分析
Alia Komsany,Obada Al Zoubi,Laetitia Sebaaly et al.
Alia Komsany et al.
Background: As TikTok (ByteDance) grows as a major platform for health information, the quality and accuracy of Arabic-language cancer prevention content remain unknown. Limited access to culturally relevant and evidence-...
Quality, Reliability, and Dissemination of In Vitro Fertilization-Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos [0.03%]
中国社交媒体上的体外受精相关短视频的质量、可靠性和传播情况：300段短片的横断面分析
Dapeng Chu,Xueyan Bai,Feng Guo
Dapeng Chu
Background: Patients increasingly rely on short-video platforms for information regarding in vitro fertilization (IVF), yet the relationship between the scientific quality of this content and its algorithmic dissemination...
Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study [0.03%]
基于社交媒体发帖的内容和情感评估国家级 cytomegalovirus 知情月效果的信息流行病学研究
Tracy R Rosebrock,Zhen Yang,Lauren D&#x;Arco et al.
Tracy R Rosebrock et al.
Background: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Month since 2011 in the United States. Established by government resolution, the goal is to increase awareness and reduce t...
Health data for linguistic minority research: Developing a proof-of-concept centralized healthcare metadata repository for Canada [0.03%]
加拿大少数语言群体研究的健康数据：开发一个概念验证集中式医疗保健元数据仓库
Vincent Martin-Schreiber,Cayden Peixoto,Ricardo Batista et al.
Vincent Martin-Schreiber et al.
Background: Language barriers between Canadian patients and providers are associated with poorer health outcomes, including decreased patient safety and quality of care, misdiagnosis and longer treatment initiation times,...