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Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data

Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data

Lastly, we used these keywords to classify the microblog posts; we also obtained the number of microblog posts under each topic and the proportion of each topic in all related microblogs.

Junze Wang, Ying Zhou, Wei Zhang, Richard Evans, Chengyan Zhu

J Med Internet Res 2020;22(11):e22152


Classification and Prediction of Violence Against Chinese Medical Staff on the Sina Microblog Based on a Self-Organizing Map: Quantitative Study

Classification and Prediction of Violence Against Chinese Medical Staff on the Sina Microblog Based on a Self-Organizing Map: Quantitative Study

In 2017 itself, there were as many as 54 violent incidents against Chinese medical staff mentioned on the Sina microblog (a leading microblog website and one of the largest social media platforms in China), which attracted public attention and sparked heated

Guimin Duan, Xin Liao, Weiping Yu, Guihua Li

J Med Internet Res 2020;22(5):e13294


Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study

Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study

The Sina Microblog hot search list is the ranking of the most followed and hottest information on Sina Microblog, and is the most popular functional module in Sina Microblog apps [43,44].

Yuxin Zhao, Sixiang Cheng, Xiaoyan Yu, Huilan Xu

J Med Internet Res 2020;22(5):e18825


Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model

As the dominant microblog service provider in China, Sina Weibo now has 167 million active users, and more than 100 million posts are published daily [22], which provide rich behavior and linguistic information of individuals for any further analysis.

Li Guan, Bibo Hao, Qijin Cheng, Paul SF Yip, Tingshao Zhu

JMIR Ment Health 2015;2(2):e17


Public Reactions to the Cigarette Control Regulation on a Chinese Microblogging Platform: Empirical Analysis

Public Reactions to the Cigarette Control Regulation on a Chinese Microblogging Platform: Empirical Analysis

For each relevant microblog, we also collected their reposted microblogs visible to all netizens.We collected 7776 original microblogs by using our designed web crawlers.

Wanting Wen, Zhu Zhang, Ziqiang Li, Jiaqi Liang, Yongcheng Zhan, Daniel D Zeng, Scott J Leischow

J Med Internet Res 2020;22(4):e14660


Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Approximately two-fifths (40.9%) of China’s netizens use the Sina microblog, the Chinese version of Twitter [20]. Microbloggers (users of microblogs) can post microblog posts publicly, similar to Twitter.

Xingyun Liu, Xiaoqian Liu, Jiumo Sun, Nancy Xiaonan Yu, Bingli Sun, Qing Li, Tingshao Zhu

J Med Internet Res 2019;21(5):e11705


Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks

Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks

Sina microblog has the largest number of users in China, approximately 368 million users at the end of 2012. Web search engines are an important tool for Internet users to acquire information.

Hua Gu, Bin Chen, Honghong Zhu, Tao Jiang, Xinyi Wang, Lei Chen, Zhenggang Jiang, Dawei Zheng, Jianmin Jiang

J Med Internet Res 2014;16(1):e20


Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis

Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis

Lin et al [27] proposed a deep neural network model to detect users’ psychological stress by incorporating two different types of user-scope attributes, and evaluated the model on four different datasets from major microblog platforms, including Sina Weibo,

Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Qingcai Chen, Jun Yan, Buzhou Tang

JMIR Med Inform 2020;8(7):e17958


Designing Microblog Direct Messages to Engage Social Media Users With Suicide Ideation: Interview and Survey Study on Weibo

Designing Microblog Direct Messages to Engage Social Media Users With Suicide Ideation: Interview and Survey Study on Weibo

After amalgamating the overlapped microblog identifications, 4222 users were invited to complete the ASIQ-4 and the questionnaire about their suicide ideation anonymously through Psychological Map, the public account of the research group.ResultsStudy 1User

Ziying Tan, Xingyun Liu, Xiaoqian Liu, Qijin Cheng, Tingshao Zhu

J Med Internet Res 2017;19(12):e381