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Promoting Public Engagement in Palliative and End-of-Life Care Discussions on Chinese Social Media: Model Development and Analysis

Promoting Public Engagement in Palliative and End-of-Life Care Discussions on Chinese Social Media: Model Development and Analysis

We collected Weibo posts dating from September 1 2009 to December 12 2022 through Python (version 3.8.3; Python Software Foundation). Sina Weibo (hereafter referred to as Weibo; Weibo Corporation) is a major social media platform in China, with >575 million monthly active users as of 2024 [46]. It plays a key role in shaping digital discourse and influencing cultural trends in the country.

Yijun Wang, Han Zheng, Yuxin Zhou, Emeka Chukwusa, Jonathan Koffman, Vasa Curcin

J Med Internet Res 2025;27:e59944

The Mediating Role of Meaning-Making in the Relationship Between Mental Time Travel and Positive Emotions in Stress-Related Blogs: Big Data Text Analysis Research

The Mediating Role of Meaning-Making in the Relationship Between Mental Time Travel and Positive Emotions in Stress-Related Blogs: Big Data Text Analysis Research

In Chinese social media, Sina Weibo has become a crucial data source for psychological studies owing to its fast dissemination, timely information, and wide audience [49]. When individuals perceive stress, they may express their emotions or reflect by posting on Sina Weibo. The cyclical model of stress resilience and stress-related growth posits that stress has an adaptive function that is facilitated by the coping process [50].

Yidi Chen, Lei Zheng, Jinjin Ma, Huanya Zhu, Yiqun Gan

J Med Internet Res 2025;27:e63407

Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis

Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis

Sina-Weibo (Sina Corporation), known as the Chinese version of Twitter, is the most popular social media platform in China; public opinions expressed on Weibo always reveal existing social concerns and issues in China.

Xiao Chen, Zhiyun Shen, Tingyu Guan, Yuchen Tao, Yichen Kang, Yuxia Zhang

JMIR Med Inform 2024;12:e59249

Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer

Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer

Chinese internet users have their own social media ecosystems and platforms: Sina Weibo is 1 of the most widely used and popular social platforms in China and has been called by some as the “Chinese version of Twitter” [12]. Given our research interest in Chinese social media users, we focused our paper specifically on Weibo.

Zhouqing Zhang, Kongmeng Liew, Roeline Kuijer, Wan Jou She, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki

JMIR Cancer 2024;10:e51332

Topic and Trend Analysis of Weibo Discussions About COVID-19 Medications Before and After China’s Exit from the Zero-COVID Policy: Retrospective Infoveillance Study

Topic and Trend Analysis of Weibo Discussions About COVID-19 Medications Before and After China’s Exit from the Zero-COVID Policy: Retrospective Infoveillance Study

Weibo is one of the oldest and largest social media platforms in China and also an important arena where information about COVID-19 is circulated and discussed [42,43]. Social media platforms, such as Weibo, Twitter, and Facebook, are often used to share users’ views, emotions, and experiences [44]. As of the first quarter of 2022, Weibo had 582 million users, making it the social media platform with the largest user base within China [45].

Duo Lan, Wujiong Ren, Ke Ni, Yicheng Zhu

J Med Internet Res 2023;25:e48789

The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data

The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data

Starting from the outbreak of COVID-19, a massive wave of discussions took place on Sina Weibo, one of China’s most popular social media platforms [2,27]. In March 2022, Weibo had 582 million active users per month and 252 million active users per day [30]. Emotion information embedded in posts on Weibo provides a unique source of data for researchers to investigate emotions in response to the Wuhan lockdown.

Xi Chen, Michelle Yik

JMIR Form Res 2022;6(11):e37698

Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts

Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts

Weibo (Sina Corporation), founded in 2009, is a Twitter-esque microblogging platform in China. Weibo has 249 million daily active users posting images and short personal stories and perspectives of up to 140 Chinese characters per post. Weibo has grown to be 1 of China’s most prevalent social media platforms. Public opinions expressed on Weibo often reflect current social concerns/sentiments and policy issues in China [22].

Dexia Kong, Anfan Chen, Jingwen Zhang, Xiaoling Xiang, W Q Vivian Lou, Timothy Kwok, Bei Wu

J Med Internet Res 2022;24(9):e39805

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

To compare content related to COVID-19 on Twitter and Weibo, including misinformation, we studied 3,579,575 posts from both Weibo and Twitter—2,344,332 (65.49%) tweets on Twitter and 1,235,243 (34.51%) posts on Weibo—focusing on content from January 30, 2020, when the World Health Organization (WHO) declared COVID-19 a “public health emergency of international concern,” and February 6, 2020.

Sarah Kreps, Julie George, Noah Watson, Gloria Cai, Keyi Ding

JMIR Infodemiology 2022;2(1):e31793

Cancer Communication and User Engagement on Chinese Social Media: Content Analysis and Topic Modeling Study

Cancer Communication and User Engagement on Chinese Social Media: Content Analysis and Topic Modeling Study

In response to this challenge, this study was conducted to investigate how China’s public has discussed cancer on Weibo by summarizing data on the platform via automatic text analytics. First, we conducted topic modeling to categorize cancer-related messages on Weibo. Second, a regression analysis was performed to examine the relationships between various cancer topics and user engagement.

Liang Chen, Pianpian Wang, Xin Ma, Xiaohui Wang

J Med Internet Res 2021;23(11):e26310

The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study

The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study

According to the 2020 annual report released by Weibo, users checked COVID-19–related information 16.1 billion times every day during the outbreak [23]. Particularly regarding the COVID-19 vaccine, more than 100,000 Weibo users participated in the discussion with a cumulative reading of more than 500 million times [24].

Zizheng Zhang, Guanrui Feng, Jiahong Xu, Yimin Zhang, Jinhui Li, Jian Huang, Babatunde Akinwunmi, Casper J P Zhang, Wai-kit Ming

JMIR Public Health Surveill 2021;7(11):e32936