Title | Does "COVID" search via social networking sites predict COVID-19 fatality growth? |
Creator | |
Date Issued | 2020 |
Conference Name | 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 |
Source Publication | ICIS 2020 Proceedings
![]() |
ISBN | 9781733632553 |
Conference Date | December 13-16, 2020 |
Conference Place | Online |
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. |
Keyword | COVID-19 Information search Prediction Social networking sites |
URL | View source |
Language | 英语English |
Scopus ID | 2-s2.0-85103451325 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6193 |
Collection | Research 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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment