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Social Media and Attitude Change: Information Booming Promote or Resist Persuasion? 期刊论文
FRONTIERS IN PSYCHOLOGY, 2021, 卷号: 12, 页码: 9
Authors:  Wang, Yizhi;  Dai, Yuwan;  Li, Hao;  Song, Lili
Adobe PDF(821Kb)  |  Favorite  |  View/Download:18/0  |  Submit date:2021/08/07
attitude change  social media  information overload  Weibo  repeated information  persuasion  
Climato-Economic Origins of Variations in Uniqueness of Nickname on Sina Weibo 期刊论文
FRONTIERS IN PSYCHOLOGY, 2021, 卷号: 12, 页码: 9
Authors:  He, Lingnan;  Chen, Yue;  Ren, Xiaopeng
Adobe PDF(978Kb)  |  Favorite  |  View/Download:29/0  |  Submit date:2021/06/14
uniqueness  climate demand  social ecology  social media network  China  
Influential path of social risk factors toward suicidal behavior—evidence from chinese sina weibo users 2013–2018 期刊论文
International Journal of Environmental Research and Public Health, 2021, 卷号: 18, 期号: 5, 页码: 1-14
Authors:  Han, Yujin;  Li, He;  Xiao, Yunyu;  Li, Ang;  Zhu, Tingshao
Adobe PDF(1778Kb)  |  Favorite  |  View/Download:27/0  |  Submit date:2021/04/21
suicidal behavior  social media  path analysis model  
Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 卷号: 23, 期号: 2, 页码: 12
Authors:  Zheng, Chengda;  Xue, Jia;  Sun, Yumin;  Zhu, Tingshao
Adobe PDF(549Kb)  |  Favorite  |  View/Download:57/0  |  Submit date:2021/04/19
Canada  PM Trudeau  YouTube  machine learning  big data  infodemiology  infodemic  public concerns  communication  concern  social media  video  
Suicidal Ideation Risk and Socio-Cultural Factors in China: A Longitudinal Study on Social Media from 2010 to 2018 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 卷号: 18, 期号: 3, 页码: 12
Authors:  Li, He;  Han, Yujin;  Xiao, Yunyu;  Liu, Xingyun;  Li, Ang;  Zhu, Tingshao
Adobe PDF(3037Kb)  |  Favorite  |  View/Download:32/0  |  Submit date:2021/03/29
suicidal ideation risk  socio-cultural  social media  word frequency  China  psychache  two-way fixed effect  
Suicidal ideation risk and socio-cultural factors in China: A longitudinal study on social media from 2010 to 2018 期刊论文
International journal of environmental research and public health, 2021, 卷号: 18, 期号: 3
Authors:  Li, He;  Han, Yujin;  Xiao, Yunyu;  Liu, Xingyun;  Li, Ang;  Zhu, Tingshao
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China  psychache  social media  socio-cultural  suicidal ideation risk  two-way fixed effect  word frequency  
Impacts of the COVID-19 Pandemic on the Bereaved: A Study of Bereaved Weibo Users 期刊论文
Healthcare, 2021
Authors:  Nuo Han;  Gewei Chen;  Sijia Li;  Feng Huang;  Xiaoyang Wang;  Xiaopeng Ren;  Tingshao Zhu
Favorite  |  View/Download:6/0  |  Submit date:2021/11/11
public health  social media  OER  bereavement  mental health  COVID-19  
Stigma toward Wuhan people during the COVID-19 epidemic: an exploratory study based on social media 期刊论文
BMC Public Health, 2021
Authors:  Yazheng Di;  Ang Li;  He Li;  Peijing Wu;  Simin Yang;  Meng Zhu;  Tingshao Zhu;  Xiaoqian Liu
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COVID-19  Infectious disease  Social media  Stigma  Weibo  
Exploring the Mechanisms of Influence on COVID-19 Preventive Behaviors in China's Social Media Users 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 卷号: 17, 期号: 23, 页码: 14
Authors:  Liu, Zeyu;  Geng, Huijun;  Chen, Hao;  Zhu, Meng;  Zhu, Tingshao
Adobe PDF(520Kb)  |  Favorite  |  View/Download:42/0  |  Submit date:2021/03/01
COVID-19  preventive behaviors  influence mechanisms  behavioral immune system  social media  
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 卷号: 22, 期号: 11, 页码: 14
Authors:  Xue, Jia;  Chen, Junxiang;  Hu, Ran;  Chen, Chen;  Zheng, Chengda;  Su, Yue;  Zhu, Tingshao
Adobe PDF(1181Kb)  |  Favorite  |  View/Download:61/1  |  Submit date:2021/03/01
machine learning  Twitter data  COVID-19  infodemic  infodemiology  infoveillance  public discussion  public sentiment  Twitter  social media  virus