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Big Data Analysis on Emergency Science Popularization under COVID-19 Based on the Yunhe Data
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Jianxun Chu1, Jiarou Li2, Jin Ma3
Studies on Science Popularization | 2020, 15(2) : 35 - 42
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Studies on Science Popularization | 2020, 15(2): 35-42
Big Data Analysis on Emergency Science Popularization under COVID-19 Based on the Yunhe Data
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Jianxun Chu1, Jiarou Li2, Jin Ma3
Affiliations
  • 1Science Communication Research Center, University of Science and Technology of China (USTC), Hefei 230026
  • 2Department of Science and Technology Communication and Policy, University of Science and Technology of China, Hefei 230026
  • 3Cadre Ward of Hefei First People’s Hospital, Hefei 230061
Published: 2020-04-29 doi: 10.19293/j.cnki.1673-8357.2020.02.005
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This paper focuses on the performances of the Chinese internet public opinion and the emergency science popularization (ESP) in current COVID-19 situations, based on the collecting of the big data of public opinion trends as well as the cloud chart of hot topic words in Chinese from Yunhe Data Platform, and then investigates the public demands on ESP against COVID-19 through online survey. The big data analysis shows there are close relations between the COVID-19 epidemic situations and public opinion trends, and the ESP practice in China could hardly match the public demands in the aspects of information authority and knowledge comprehensiveness. Based on the above study, four suggestions are proposed for the emergency science popularization in China in such situation.

COVID-19  /  public opinion  /  emergency science popularization  /  big data
Jianxun Chu, Jiarou Li, Jin Ma. Big Data Analysis on Emergency Science Popularization under COVID-19 Based on the Yunhe Data[J]. Studies on Science Popularization, 2020 , 15 (2) : 35 -42 . DOI: 10.19293/j.cnki.1673-8357.2020.02.005
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doi: 10.19293/j.cnki.1673-8357.2020.02.005
  • Receive Date：2020-03-11
  • Online Date：2026-07-29
  • Published：2020-04-29
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  • Received：2020-03-11
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Affiliations
    1Science Communication Research Center, University of Science and Technology of China (USTC), Hefei 230026
    2Department of Science and Technology Communication and Policy, University of Science and Technology of China, Hefei 230026
    3Cadre Ward of Hefei First People’s Hospital, Hefei 230061
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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