F Edghiem
Big data HE communities : could Twitter support UK universities amid the COVID-19 transition?
Edghiem, F; Abualqumboz, M
Authors
M Abualqumboz
Contributors
MB Ali
Editor
Abstract
This chapter intends to explore the use of the Twitter social media platform as a microblog to share COVID-19 prescribed knowledge through observing the Twitter accounts of the five most student-populated UK universities. The chapter provides valuable practical insight to UK universities practitioners, students, and concerned stakeholders on the use of Twitter microblogs to share or retrieve knowledge required to cope with the current COVID-19 transition. The chapter sheds light on the unique characteristics of knowledge shared by UK universities through Twitter in relation to the current COVID-19 pandemic. The chapter also highlights the unconventional use of Twitter by UK universities to share COVID-19 prescribed knowledge with their stakeholders.
Citation
Edghiem, F., & Abualqumboz, M. (2021). Big data HE communities : could Twitter support UK universities amid the COVID-19 transition?. In M. Ali (Ed.), Remote Work and Sustainable Changes for the Future of Global Business (33-44). IGI Global. https://doi.org/10.4018/978-1-7998-7513-0.ch003
Publication Date | Jul 30, 2021 |
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Deposit Date | Jul 29, 2021 |
Publicly Available Date | Jul 29, 2021 |
Pages | 33-44 |
Series Title | Advances in Business Strategy and Competitive Advantage (ABSCA) |
Book Title | Remote Work and Sustainable Changes for the Future of Global Business |
ISBN | 9781799875130-(hardback);-9781799875147-(softcover);-9781799875154-(online) |
DOI | https://doi.org/10.4018/978-1-7998-7513-0.ch003 |
Publisher URL | https://doi.org/10.4018/978-1-7998-7513-0.ch003 |
Related Public URLs | https://doi.org/10.4018/978-1-7998-7513-0 |
Additional Information | Additional Information : ** From Crossref book chapters via Jisc Publications Router **Journal IDs: pissn 2327-3429; eissn 2327-3437 **History: published 2021 Access Information : This chapter has been made available in line with IGI Global's Fair Use Policy (https://www.igi-global.com/about/rights-permissions/content-reuse/) The following uses of this material are prohibited: The chapter cannot be posted on general open access sites for free download and distribution, such as ResearchGate, arXiv, Academia.edu, SSRN, or society-sponsored sites. The chapter cannot be used in a coursepack without first securing the consent of IGI Global. This chapter cannot copy or distribute for any monetary consideration. This chapter cannot be given to a commercial third party to post, copy, distribute, sell or give for free or for any monetary consideration. |
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