Results 11 to 20 of about 17,364 (231)
Machine Users Detection on Sina Weibo Platform
MATEC Web of Conferences, 2018 In recent years, the rapid development of Sina Weibo has made it the representative of many Weibo platforms in China. Sina Weibo has attracted large numbers of users in China because of its fast speed of information dissemination, simple use and many ...
Huang Meigen, Zhou Lihan, Wang Yu
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Predicting Media Credibility in China: The Influence of Weibo Use
Asian Journal for Public Opinion Research, 2014 A telephone survey was conducted in a metropolitan city in 2012 to examine people's credibility ratings of different media outlets, in particular, Weibo - one of the most popular social media platforms in China.
Fei Shen, Hongzhong Zhang
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Event-Based User Classification in Weibo Media [PDF]
The Scientific World Journal, 2014 Weibo media, known as the real-time microblogging services, has attracted massive attention and support from social network users. Weibo platform offers an opportunity for people to access information and changes the way people acquire and disseminate ...
Liang Guo +3 more
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Weibo Attention and Stock Market Performance: Some Empirical Evidence
Complexity, 2018 In this paper, we employ Weibo Index as the proxy for investor attention and analyze the relationships between investor attention and stock market performance, i.e., trading volume, return, and volatility.
Minghua Dong +3 more
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Opinioned Post Detection in Sina Weibo
IEEE Access, 2017 Sina Weibo has become an important data resource for opinion mining. However, this data resource is polluted with un-opinionated posts. Detecting posts containing opinions in Sina Weibo faces two challenges. One is the short text in Sina Weibo that leads
Yanzhang Lv +5 more
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Chinese tobacco industry promotional activity on the microblog Weibo. [PDF]
PLoS ONE, 2014 BACKGROUND: Although China ratified the WHO Framework Convention on Tobacco Control [FCTC] in 2005, the partial ban on tobacco advertising does not cover the internet.
Fan Wang +5 more
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Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape. [PDF]
Psych JABSTRACT Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary widely in target outcomes, data sources, labeling strategies, and evaluation practices, and a structured overview of recent research remains limited.
He Y, He Y, Liu D.
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Molecular Therapy: Methods & Clinical Development, 2022 α1-antitrypsin deficiency is a rare genetic condition that can cause liver and/or lung disease. There is currently no cure for this disorder, although repeated infusions of plasma-purified protein may slow down emphysema progression.
Marina Zieger +6 more
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, 2023 In recent years, local governments in China have started experimenting with social media platforms like Weibo and WeChat, among others, to communicate with the public during emergencies.
Chengdan, Luo +2 more
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Generation of iMyoblasts from Human Induced Pluripotent Stem Cells
Bio-Protocol, 2022 Skeletal muscle stem cells differentiated from human-induced pluripotent stem cells (hiPSCs) serve as a uniquely promising model system for investigating human myogenesis and disease pathogenesis, and for the development of gene editing and regenerative ...
Dongsheng Guo +4 more
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