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TitleDoes "COVID" search via social networking sites predict COVID-19 fatality growth?
Creator
Date Issued2020
Conference Name2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
Source PublicationICIS 2020 Proceedings
ISBN9781733632553
Conference DateDecember 13-16, 2020
Conference PlaceOnline
Abstract

In recent years, the number of online health information users has been increasing dramatically. This study investigates the effects of keyword search in SNS on COVID-19 fatality. We collected YouTube search data from Google Trends (trends.google.com) and the COVID19 Global Forecasting (week 4) data for each country from kaggle.com. The findings of this study confirm the role of SNS search in predicting the reduction of COVID-19 fatality. By using machine learning and data mining, we identified the conditions under which fatality may grow with more SNS search. Specifically, we found that more SNS search may predict the rise of fatality growth and rate when the infected population grows a large number.

KeywordCOVID-19 Information search Prediction Social networking sites
URLView source
Language英语English
Scopus ID2-s2.0-85103451325
Citation statistics
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6193
CollectionResearch outside affiliated institution
Affiliation
1.Shenzhen Pianpian Technology Ltd.,HKUST Innovation and Entrepreneurship Center,Shenzhen,China
2.Division of Business and Management,Beijing Normal University-Hong Kong Baptist University United International College (UIC),Zhuhai,China
Recommended Citation
GB/T 7714
Zhan, Ge,Wang, Ruowen. Does "COVID" search via social networking sites predict COVID-19 fatality growth?[C], 2020.
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