The Role of Influencers and Echo Chambers in the Diffusion of Vaccine Misinformation: Opinion Mining in a Taiwanese Online Community [0.03%]
网红和回音室在疫苗错误信息传播中的作用：台湾线上社区舆论挖掘研究
Jason Dean-Chen Yin,Tzu-Chin Wu,Chia-Yun Chen et al.
Jason Dean-Chen Yin et al.
Background: Prevalence and spread of misinformation are a concern for the exacerbation of vaccine hesitancy and a resulting reduction in vaccine intent. However, few studies have focused on how vaccine misinformation diff...
The Impact of Misinformation on Social Media in the Context of Natural Disasters: Narrative Review [0.03%]
自然灾害背景下的社交媒体误述信息的影响：叙述性综述
Sonya Hilberts,Mark Govers,Elena Petelos et al.
Sonya Hilberts et al.
Background: Misinformation on social media during natural disasters has become a significant challenge, with the potential to increase public confusion, panic, and distrust. Although individuals rely on social media platf...
Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach [0.03%]
基于自然语言处理方法分析疫情期间Twitter上有关物质使用言论的年龄、性别、种族、情感和情绪差异性：新冠肺炎疫情下的物质使用言论的情感与情绪差异分析研究
Julina Maharjan,Ruoming Jin,Jennifer King et al.
Julina Maharjan et al.
Background: User demographics are often hidden in social media data due to privacy concerns. However, demographic information on substance use (SU) can provide valuable insights, allowing public health policy makers to fo...
Harnessing Facebook to Investigate Real-World Mentions of Adverse Events of Glucagon-Like Peptide-1 Receptor Agonist (GLP-1 RA) Medications: Observational Study of Facebook Posts From 2022 to 2024 [0.03%]
利用Facebook调查胰高血糖素样肽-1受体激动剂（GLP-1 RA）药物不良事件真实世界提及情况的观察研究：2022年至2024年的Facebook帖子分析
Amrutha S Alibilli,Vidur Jain,Heran Mane et al.
Amrutha S Alibilli et al.
Background: In recent years, there has been a dramatic increase in the popularity and use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for weight loss. As such, it is essential to understand users' real-world ...
Observational Study
JMIR infodemiology. 2025 Jul 24:5:e73619. DOI:10.2196/73619 2025
The Quality and Reliability of Online Videos as an Information Source of Public Health Education for Stroke Prevention in Mainland China: Electronic Media-Based Cross-Sectional Study [0.03%]
中国大陆基于电子媒体的卒中预防公共卫生教育的信息来源视频的质量与可靠性：横断面研究
Rongguang Ge,Haoyi Dai,Chicheng Gong et al.
Rongguang Ge et al.
Background: Stroke has become a leading cause of death and disability worldwide, resulting in a significant loss of healthy life years and imposing a considerable economic burden on patients, their families, and caregiver...
Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts [0.03%]
使用自然语言处理描述2022年网络社区中关于堕胎的在线讨论：Reddit帖子的动态主题模型分析
Elizabeth Pleasants,Ndola Prata,Ushma D Upadhyay et al.
Elizabeth Pleasants et al.
Background: Abortion access in the United States has been in a state of rapid change and increasing restriction since the Dobbs v Jackson Women's Health Organization decision from the US Supreme Court in June 2022. With f...
Messaging and Information in Mental Health Communication on Social Media: Computational and Quantitative Analysis [0.03%]
社交媒体精神健康交流中的消息传递和信息量的计算及定量分析
Rebecca K Ivic,Amy Ritchart,Shaheen Kanthawala et al.
Rebecca K Ivic et al.
Background: Mental health organizations have the vital and difficult task of shaping public discourse and providing important information. Social media platforms such as X (formerly known as Twitter) serve as such communi...
Modularity of Online Social Networks and COVID-19 Misinformation Spreading in Russia: Combining Social Network Analysis and National Representative Survey [0.03%]
俄罗斯在线社交网络的模块化与新冠虚假信息传播：结合社会网络分析和全国代表性调查研究
Boris Pavlenko
Boris Pavlenko
Background: The outbreak of SARS-CoV-2 in 2019 was accompanied by a rise in the popularity of conspiracy theories. These theories often undermined vaccination efforts. There is evidence that the spread of misinformation a...
Exploring Social Media Posts on Lifestyle Behaviors: Sentiment and Content Analysis [0.03%]
基于社交媒体平台的生活方式行为情感和内容分析研究
Yan Yee Yip,Mohd Ridzwan Yaakub,Mohd Makmor-Bakry et al.
Yan Yee Yip et al.
Background: There has been an increase in the prevalence of noncommunicable diseases in Malaysia. This can be prevented and managed through the adoption of healthy lifestyle behaviors, including not smoking, avoiding alco...
How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches [0.03%]
公众如何在社交媒体上应对健康 misinformation：识别与反应方式的定性研究
Sharmila Sathianathan,Adliah Mhd Ali,Wei Wen Chong
Sharmila Sathianathan
Background: Social media is widely used by the general public as a source of health information because of its convenience. However, the increasing prevalence of health misinformation on social media is becoming a serious...