A Methodology for the Sport Industry to Capture Public Perceptions and Responses in the Time of COVID-19

Author:

Wang Yen-Yao1,Wang Tawei2ORCID,Yoon Kyunghee3

Affiliation:

1. Auburn University

2. DePaul University

3. Clark University

Abstract

ABSTRACT The COVID-19 pandemic has had an unprecedented impact on the sports industry, affecting activities from professional sports to the 2020 Summer Olympics. It has wreaked havoc on the sports calendar, causing a number of events to be canceled or postponed. This study proposes a methodology by which the sports industry can assess public perceptions and responses in social media to gain important insights that can be used to craft effective crisis management strategies. Using machine learning approaches in order to extract hidden patterns in tweets could assist practitioners in creating and implementing crisis communication strategies for mitigating the impact of COVID-19.

Publisher

American Accounting Association

Subject

Computer Science Applications,Accounting

Reference26 articles.

1. Browning, B., and SandersonJ. 2012. The positives and negatives of Twitter: Exploring how student-athletes use Twitter and respond to critical tweets. International Journal of Sport Communication5 ( 4): 503– 521. https://doi.org/10.1123/ijsc.5.4.503

2. Bundy, J., Pfarrer M. D., Short C. E., and CoombsW. T. 2017. Crises and crisis management: Integration, interpretation, and research development. Journal of Management43 ( 6): 1661– 1692. https://doi.org/10.1177/0149206316680030

3. Centers for Disease Control and Prevention (CDC). 2020. Considerations for Events and Gatherings. Atlanta, GA: Centers for Disease Control and Prevention.

4. Cole, S 2020. Coronavirus: How are sports brands responding on social media?Available at: https://econsultancy.com/coronavirus-covid19-sports-brand-responses-social-media/

5. Deloitte. 2021. Sports. Available at: https://www2.deloitte.com/us/en/pages/consumer-business/topics/sports.html

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