Temporal Dynamics of Influenza-Associated Anxiety Symptom Linguistic Markers on Weibo (2023-2024): Observational Study [0.03%]
2023-2024年微博上流感相关焦虑症状语言标志的时空动态特征研究：观察性研究
Yifan Ou,Gert-Jan de Bruijn,Peter Johannes Schulz
Yifan Ou
Background: Influenza seasons may be associated with increased anxiety-related expressions on social media. Social media can reflect population-level emotional expression patterns in real time. ...
Observational Study
JMIR infodemiology. 2026 Aug 7:6:e88849. DOI:10.2196/88849 2026
Impact of Repeated Exposure to Polarized Health-Related News on Explicit and Implicit Attitudes Toward Dietary Supplements: Online Experimental Study [0.03%]
反复接触极化健康相关新闻对显性和隐性膳食补充态度的影响：在线实验研究
Eugen-Călin Secară,Nicolae-Adrian Opre
Eugen-Călin Secară
Background: Repetition is a central feature of digital news consumption, where engagement-driven algorithms often expose users to similar health-related content. Prior research suggests that repeated exposure can influenc...
Exploring the Discourse Around Zyn Nicotine Pouches on Instagram and TikTok: Content Analysis [0.03%]
探究Instagram和TikTok上关于Zyn尼古丁袋的 discourse：内容分析
Arpita Tripathi,Beth Hoffman,Christine Larkin et al.
Arpita Tripathi et al.
Background: Oral nicotine pouches, such as Zyn, have rapidly grown in popularity in the United States, with sales increasing from 83.2 million cans in 2020 to 385 million cans in 2023. This growth has occurred alongside c...
Investigation of Differences in Tobacco Use Language Between Groups: Corpus-Assisted Analysis [0.03%]
基于语料库的分析：探究不同群体中烟草使用用语的差异
Iona Fitzpatrick,Xinmei Sun
Iona Fitzpatrick
Background: The variation of language concerning tobacco products and tobacco use is known to impact the understanding of related risks and influence behaviors including use uptake and product cessation. Transnational tob...
Multi-layered Epistemic Disruption in AI-Driven Health Misinformation: Conceptual Framework and Viewpoint [0.03%]
人工智能驱动的健康 misinformation 的多层知识扰乱：概念框架与观点论文
Muzaffer Malkoç
Muzaffer Malkoç
Background: Generative AI (GenAI) has transformed the health information ecosystem by enabling scalable, sophisticated health misinformation production at near-zero marginal cost. Current literature addresses AI's role in...
Measuring Safety Risks in Online Drug Sales: Empirical Study Based on Complex Network Theory [0.03%]
基于复杂网络理论的在线药品交易安全风险测度研究
Rong Jiang,Bingke Xing,Lixin Shu
Rong Jiang
Background: With the rapid development of pharmaceutical e-commerce, online drug sales have led to additional safety risks, while providing convenient services to the public. These risks pose challenges to public health s...
Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing-Assisted Qualitative Study [0.03%]
一项辅助性定性研究：对Reddit网站上泰安培亭用药经历的自我报告的分析
Christopher J Counts,Anthony V Spadaro,Sahithi Lakamana et al.
Christopher J Counts et al.
This study, using natural language processing and manual thematic analysis of Reddit posts, revealed a rapid rise in discussions about tianeptine, with posts frequently reporting dependence, withdrawal, and coingestion with other unregulate...
Elizabeth E Havron,Kylee Chenault,Danny Valdez et al.
Elizabeth E Havron et al.
Background: Mpox was declared a public health emergency of international concern in 2022. Instagram is widely used by age groups and communities disproportionately affected by mpox; yet platform-specific evidence on mpox ...
Tetanus Health Information on YouTube and TikTok: Cross-Sectional Analysis of Quality, Reliability, and Public Health Implications [0.03%]
关于抖音和outube上破伤风健康信息的质量、可靠性和公共卫生影响的横断面研究分析
Rui Huang,Yajing Shen,Guangqing Zou et al.
Rui Huang et al.
Background: Tetanus is a severe but vaccine-preventable neurological disease that remains a public health concern, especially in resource-limited settings. As social media becomes an important source of health information...
Online Information Behavior Regarding COVID-19 Vaccination and Its Association With Vaccination Behavior Based on Cluster Analysis of User Groups: Cross-Sectional Study [0.03%]
基于用户群聚类分析的新冠肺炎疫苗相关信息网络行为及其与接种行为关系的研究：横断面研究
Lea Liebner,Birgit Babitsch,Lisa Schmidt
Lea Liebner
Background: The COVID-19 pandemic highlighted the importance of effective health communication and reliable information for crisis management, particularly following the introduction of vaccinations. Varied attitudes towa...