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The Public Cognition and Attitude to Artificial Intelligence during the COVID-19 Epidemic: Based on the Text Mining of Weibo Content
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Nan Huang1, Jun Xiao2, Zengyi Zhang1
Studies on Science Popularization | 2021, 16(5) : 33 - 41
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Studies on Science Popularization | 2021, 16(5): 33-41
• Special on the Science Popularization Study of COVID-19 •
The Public Cognition and Attitude to Artificial Intelligence during the COVID-19 Epidemic: Based on the Text Mining of Weibo Content
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Nan Huang1, Jun Xiao2, Zengyi Zhang1
Affiliations
  • 1School of Humanities, University of Chinese Academy of Sciences, Beijing 100049
  • 2School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049
Published: 2021-10-29 doi: 10.19293/j.cnki.1673-8357.2021.05.004
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This article is based on Gsdata.cn’s public opinion monitoring data on the discussion about artificial intelligence (AI) under the COVID-19 epidemic in Weibo. Text mining combined with qualitative analysis were used to analyze the public cognition and attitude to AI. AI in the areas of work resumption, epidemic monitoring, and medical applications received the most attentions. A relatively positive overall attitude was shown, mainly reflected people’s acceptance and recognition of effectiveness, accuracy and safety of AI in fighting against the epidemic. During this period, enterprises and governments are the main sources of information, publishers and objects of attention on AI issues. Discussions focused on issues such as economics, policies, and technology applications. There was relatively less content on AI ethics, governance, risks, and related scientific popularization. Therefore, we propose to encourage multiple subjects to conduct open dialogues, focusing on the issues of AI ethics, governance and risks. Science popularizers can conduct in-depth and systematic scientific dissemination around the public’s attention and personal experience during the epidemic to AI.

COVID-19 epidemic  /  artificial intelligence  /  Weibo  /  cognition and attitude
Nan Huang, Jun Xiao, Zengyi Zhang. The Public Cognition and Attitude to Artificial Intelligence during the COVID-19 Epidemic: Based on the Text Mining of Weibo Content[J]. Studies on Science Popularization, 2021 , 16 (5) : 33 -41 . DOI: 10.19293/j.cnki.1673-8357.2021.05.004
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doi: 10.19293/j.cnki.1673-8357.2021.05.004
  • Receive Date：2020-12-07
  • Online Date：2026-07-30
  • Published：2021-10-29
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  • Received：2020-12-07
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    1School of Humanities, University of Chinese Academy of Sciences, Beijing 100049
    2School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049
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