A study on the emotional and attitudinal behaviors of social media users under the sudden reopening policy of the Chinese government

被引:4
|
作者
Zhang, Qiaohe [1 ]
Niu, Tianyue [2 ]
Yang, Jinhua [3 ]
Geng, Xiaochen [4 ]
Lin, Yinhuan [5 ]
机构
[1] Huaibei Normal Univ, Acad Fine Arts, Huaibei, Peoples R China
[2] Tsinghua Univ, Acad Arts & Design, Beijing, Peoples R China
[3] Tongji Univ, Coll Humanities, Shanghai, Peoples R China
[4] Nantong Univ, Sch Art, Nantong, Peoples R China
[5] Fuzhou Univ, Xiamen Acad Arts & Design, Xiamen, Peoples R China
关键词
COVID-19; deregulation of epidemic control; emotional and attitudinal behaviors; social media users; artificial intelligence; natural language processing; SENTIMENT ANALYSIS; MENTAL-HEALTH; TWITTER; INFORMATION; MICROBLOGS; PREDICTION; IMPACT;
D O I
10.3389/fpubh.2023.1185928
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
IntroductionSince the outbreak of the COVID-19 pandemic, the Chinese government has implemented a series of strict prevention and control policies to prevent the spread of the virus. Recently, the Chinese government suddenly changed its approach and lifted all prevention and control measures. This sudden change in policy is expected to lead to a widespread outbreak of COVID-19 in China, and the public and local governments are not adequately prepared for the unknown impact on society. The change in the "emergency" prevention and control policy provides a unique research perspective for this study. MethodsThe purpose of this study is to analyze the public's attitudes and emotional responses to COVID-19 under the sudden opening policy, identify the key factors that contribute to these attitudes and emotions, and propose solutions. In response to this sudden situation, we conducted data mining on topics and discussions related to the opening of the epidemic on Sina Weibo, collecting 125,686 interactive comments. We used artificial intelligence technology to analyze the attitudes and emotions reflected in each data point, identify the key factors that contribute to these attitudes and emotions, explore the underlying reasons, and find corresponding solutions. ResultsThe results of the study show that in the face of the sudden release of the epidemic, the public mostly exhibited negative emotions and behaviors, with many people experiencing anxiety and panic. However, the gradual resumption of daily life and work has also led some people to exhibit positive attitudes. ConclusionThe significance of this study is to help the government and institutions understand the impact of policy implementation on users, and to enable them to adjust policies in a timely manner to respond to potential social risks. The government, emergency departments, and the public can all prepare for similar situations based on the conclusions of this study.
引用
收藏
页数:16
相关论文
共 17 条
  • [1] Understanding Behaviors, Experiences and Perspectives of Government Social Media Users
    Gintova, Maria
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2018), 2018, : 154 - 164
  • [2] Identifying Chinese social media users' need for affect from their online behaviors
    Deng, Hong
    Zhao, Nan
    Wang, Yilin
    FRONTIERS IN PUBLIC HEALTH, 2023, 10
  • [3] Research on Chinese social media users' communication behaviors during public emergency events
    Xie, Yungeng
    Qiao, Rui
    Shao, Guosong
    Chen, Hong
    TELEMATICS AND INFORMATICS, 2017, 34 (03) : 740 - 754
  • [4] Understanding Chinese mobile social media users' communication behaviors during public health emergencies
    Wang, Houcai
    Xiong, Li
    Wang, Chengwen
    Chen, Nan
    JOURNAL OF RISK RESEARCH, 2022, 25 (07) : 874 - 891
  • [5] Public deliberation on government-managed social media: A study on Weibo users in China
    Medaglia, Rony
    Zhu, Demi
    GOVERNMENT INFORMATION QUARTERLY, 2017, 34 (03) : 533 - 544
  • [6] Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study
    Neely, Stephen
    Eldredge, Christina
    Sanders, Ron
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (06)
  • [7] The impact of emotional vs rational message framing on social media users' detection and sharing of misinformation: an experimental study
    Miri, Arman
    Karimi-Shahanjarin, Akram
    Afshari, Maryam
    Tapak, Leili
    Bashirian, Saeed
    JOURNAL OF INFORMATION COMMUNICATION & ETHICS IN SOCIETY, 2024, 22 (03) : 321 - 330
  • [8] Perceptions of social media users to government regulations and measures during COVID-19 pandemic in Jordan: a qualitative study
    Alsswey, Ahmed
    Malak, Malakeh Z. Z.
    El-Qirem, Fuad A. A.
    NEW REVIEW OF HYPERMEDIA AND MULTIMEDIA, 2023, 29 (02) : 73 - 90
  • [9] Perceptions, Knowledge, and Behaviors Related to COVID-19 Among Social Media Users: Cross-Sectional Study
    Ali, Khawla F.
    Whitebridge, Simon
    Jamal, Mohammad H.
    Alsafy, Mohammad
    Atkin, Stephen L.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (09)
  • [10] Exploring the health information seeking behavior of social media users under the background of COVID-19 pandemic: An empirical study based on social cognitive theory
    Zhang, Xiaoyi
    Chen, Beibei
    Li, Guowang
    Dong, Yueqi
    FRONTIERS IN PSYCHOLOGY, 2022, 13