Global Influence of Cannabis Legalization on Social Media Discourse: Mixed Methods Study [0.03%]
关于 cannabis 合法化对社交媒体舆论全球影响的混合研究方法研究
Consuelo Castillo-Toledo,Carolina Donat-Vargas,María Montero-Torres et al.
Consuelo Castillo-Toledo et al.
Background: Cannabis is the third most consumed drug worldwide, with its use linked to a high number of substance use disorders, particularly among young men. Associated mortality causes include traffic accidents and card...
Stillbirth Discourse on Instagram and X (Formerly Twitter): Content Analysis [0.03%]
stillbirth话题在Instagram和X（原推特）上的讨论内容分析
Abigail Paradise Vit,Daniel Fraidin,Yaniv S Ovadia
Abigail Paradise Vit
Background: Stillbirth, the loss of a fetus after the 20th week of pregnancy, affects about 1 in 160 deliveries in the United States and nearly 1 in 70 globally. It profoundly affects parents, often resulting in grief, de...
Quality Assessment of Videos About Dengue Fever on Douyin: Cross-Sectional Study [0.03%]
关于抖音平台上登革热视频的质量评估：横断面研究
Youlian Zhou,Liang Yang,Li Luo et al.
Youlian Zhou et al.
Background: Dengue fever has evolved into a significant public health concern. In recent years, short-video platforms such as Douyin have emerged as prominent media for the dissemination of health education content. Never...
Exploring Pain on Social Media: Observational Study on Perceptions and Discussions of Chronic Pain Conditions [0.03%]
社交媒体上的慢性疼痛感知与讨论观察研究
Teresa Valades,Cesar I Fernandez-Lazaro,Francisco Lara-Abelenda et al.
Teresa Valades et al.
Background: Chronic pain, affecting 30.3% of the global population, constitutes a major public health and social challenge. It is associated with disability, emotional distress, and diminished quality of life. Conditions,...
Observational Study
JMIR infodemiology. 2025 Sep 16:5:e67473. DOI:10.2196/67473 2025
Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies [0.03%]
关于健康信息、 misinformation 与生成式人工智能技术交叉点的观点
António Bandeira,Luis Henrique Gonçalves,Felix Holl et al.
António Bandeira et al.
In recent years, artificial intelligence (AI) has seen rapid advancements, with innovations such as large language models and generative AI evolving at a rapid pace. While this progress offers tremendous opportunities, it also presents risk...
Health-Related Concerns of Anti-LGBTQ+ Legislation: Thematic Analysis Using Social Media Data [0.03%]
社交媒体数据使用的LGBTQ+反立法相关健康问题的主题分析
Ari Z Klein,Kaelen Spiegel,José A Bauermeister et al.
Ari Z Klein et al.
Background: There has been a recent proliferation of anti-LGBTQ+ (lesbian, gay, bisexual, transgender, queer/questioning) legislation being proposed in the United States, including more than 500 bills across 42 states in ...
Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit [0.03%]
数据挖掘创伤：Reddit上网络受害的AI辅助定性研究
J&#x;Andra Antisdel,Wendy R Miller,Doyle Groves
J&#x;Andra Antisdel
Background: Cyber victimization exposes individuals to numerous risks. Developmental and psychological factors may leave some users unaware of the potential dangers, increasing their susceptibility to psychological distre...
Online Illicit Drug Distribution in the Thai Language on X: Exploratory Qualitative Content Analysis [0.03%]
泰语在X上的非法药物分配：探索性定性内容分析
Francois Rene Lamy,Seung Chun Paek,Natthani Meemon
Francois Rene Lamy
Background: By increasing exposure to drug-related advertisements, the illicit digital drug trade promotes drug normalization and eases access to substances, increasing the likelihood of initiation. Social media platforms...
Mapping Vaccine Sentiment by Analyzing Spanish-Language Social Media Posts and Survey-Based Public Opinion: Dual Methods Study [0.03%]
基于调查的疫苗舆论双方法研究：分析西班牙语社交媒体发文与公众意见
Agnes Huguet-Feixa,Wasim Ahmed,Eva Artigues-Barberà et al.
Agnes Huguet-Feixa et al.
Background: The internet and social media have been considered useful platforms for obtaining health information. However, critical and erroneous content about vaccines on social media has been associated with vaccination...
Observational Study
JMIR infodemiology. 2025 Aug 29:5:e63223. DOI:10.2196/63223 2025
Communicating Antimicrobial Resistance on Instagram: Content Analysis of #AntibioticResistance [0.03%]
一项关于Instagram上抗生素抗药性话题沟通的内容分析研究：#抗生素抗药性标签下的分享特征及信息类型
Elin Nilsson,Emma Oljans,Anna-Carin Nordvall et al.
Elin Nilsson et al.
Background: Antimicrobial resistance (AMR) is a major global health issue heavily influenced by human behavior. Effective communication and awareness-raising are crucial in curbing AMR, with social network sites (SNSs) si...