Version 1
: Received: 4 April 2020 / Approved: 6 April 2020 / Online: 6 April 2020 (12:50:00 CEST)
How to cite:
Kayes, A.S.M.; Islam, M.S.; Watters, P.A.; Ng, A.; Kayesh, H. Automated Measurement of Attitudes Towards Social Distancing Using Social Media: A COVID-19 Case Study. Preprints2020, 2020040057. https://doi.org/10.20944/preprints202004.0057.v1
Kayes, A.S.M.; Islam, M.S.; Watters, P.A.; Ng, A.; Kayesh, H. Automated Measurement of Attitudes Towards Social Distancing Using Social Media: A COVID-19 Case Study. Preprints 2020, 2020040057. https://doi.org/10.20944/preprints202004.0057.v1
Kayes, A.S.M.; Islam, M.S.; Watters, P.A.; Ng, A.; Kayesh, H. Automated Measurement of Attitudes Towards Social Distancing Using Social Media: A COVID-19 Case Study. Preprints2020, 2020040057. https://doi.org/10.20944/preprints202004.0057.v1
APA Style
Kayes, A.S.M., Islam, M.S., Watters, P.A., Ng, A., & Kayesh, H. (2020). Automated Measurement of Attitudes Towards Social Distancing Using Social Media: A COVID-19 Case Study. Preprints. https://doi.org/10.20944/preprints202004.0057.v1
Chicago/Turabian Style
Kayes, A.S.M., Alex Ng and Humayun Kayesh. 2020 "Automated Measurement of Attitudes Towards Social Distancing Using Social Media: A COVID-19 Case Study" Preprints. https://doi.org/10.20944/preprints202004.0057.v1
Abstract
The COVID-19 outbreak has focused attention on the use of social distancing as the primary defence against community infection, yet forcing social animals to maintain that physical distance has presented significant challenges for health authorities and law enforcement. Anecdotal media reports suggest widespread dissatisfaction with social distancing as a policy, yet there is little prior work aimed at measuring community acceptance of social distancing. In this paper, we propose a new approach to measuring attitudes towards social distancing by using social media and sentiment analysis. Over a 4 month period, we found 82.5% of tweets were in favour of social distancing. The results indicate a widespread acceptance of social distancing in the community. We conclude by examining options for estimating the optimal (minimal) social distance required at scale, and the implications for securing widespread community support and acceptance of public health messaging.
Keywords
COVID-19; social distancing model; sentiment analysis; physical distancing; social media; measuring attitudes
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
