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author:

Zhang, Qiaohe (Zhang, Qiaohe.) [1] | Niu, Tianyue (Niu, Tianyue.) [2] | Yang, Jinhua (Yang, Jinhua.) [3] | Geng, Xiaochen (Geng, Xiaochen.) [4] | Lin, Yinhuan (Lin, Yinhuan.) [5] (Scholars:林银焕)

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SSCI Scopus SCIE

Abstract:

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.

Keyword:

artificial intelligence COVID-19 deregulation of epidemic control emotional and attitudinal behaviors natural language processing social media users

Community:

  • [ 1 ] [Zhang, Qiaohe]Huaibei Normal Univ, Acad Fine Arts, Huaibei, Peoples R China
  • [ 2 ] [Niu, Tianyue]Tsinghua Univ, Acad Arts & Design, Beijing, Peoples R China
  • [ 3 ] [Yang, Jinhua]Tongji Univ, Coll Humanities, Shanghai, Peoples R China
  • [ 4 ] [Geng, Xiaochen]Nantong Univ, Sch Art, Nantong, Peoples R China
  • [ 5 ] [Lin, Yinhuan]Fuzhou Univ, Xiamen Acad Arts & Design, Xiamen, Peoples R China

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Source :

FRONTIERS IN PUBLIC HEALTH

ISSN: 2296-2565

Year: 2023

Volume: 11

3 . 0

JCR@2023

3 . 0 0 0

JCR@2023

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:17

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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