The Role of Media Coverage on Pandemic Containment : Empirical Analysis of the COVID-19 Case
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | PACIS 2020 Proceedings |
Publisher | Association for Information Systems |
ISBN (Print) | 978-1-7336325-3-9 |
Publication status | Published - Jun 2020 |
Publication series
Name | Proceedings of the Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS |
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Conference
Title | 24th Pacific Asia Conference on Information Systems (PACIS 2020) |
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Location | Virtual conference |
Place | United Arab Emirates |
City | Dubai |
Period | 20 - 24 June 2020 |
Link(s)
Abstract
Since December 29, 2019, the world has been suffering from a serious pandemic disease, the COVID-19. Given its universal availability, social media platforms, such as Weibo, provides the public with frequently updated health information to support the virus containment work. The health information posted by the health authorities (government, hospital, and medical experts) is expected to urge individuals to take protective actions. To investigate whether there is a significant impact of media coverage on protective behaviors and further on pandemic transmission, we collect a panel dataset to conduct an empirical analysis. Our preliminary results show that the volume of all media coverage has a significant containment effect on pandemic transmission. In particular, verified publishers have greater containment effect than unverified publishers. In the future, we will use instrument variables or matching methods to examine the causal effects.
Research Area(s)
- COVID-19, Media Coverage, Pandemic Containment
Bibliographic Note
Research Unit(s) information for this publication is provided by the author(s) concerned.
Citation Format(s)
The Role of Media Coverage on Pandemic Containment : Empirical Analysis of the COVID-19 Case. / CAO, Qiang; HU, Wei; ZHOU, Sijia et al.
PACIS 2020 Proceedings. Association for Information Systems, 2020. 162 (Proceedings of the Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review