Resilience of political leaders and healthcare organizations during COVID-19

被引:0
作者
Baxi M.K. [1 ]
Philip J. [2 ]
Mago V. [1 ]
机构
[1] Department of Computer Science, Lakehead University, Thunder Bay, ON
[2] Superior Collegiate and Vocational Institute, Thunder Bay, ON
基金
加拿大自然科学与工程研究理事会;
关键词
Content analysis; Covid-19; Crisis communication; Inclusivity and diversity strength; Sentiment strength; Social media; Twitter; User engagement;
D O I
10.7717/PEERJ-CS.1121
中图分类号
学科分类号
摘要
This study assesses the online societal association of leaders and healthcare organizations from the top-10 COVID-19 resilient nations through public engagement, sentiment strength, and inclusivity and diversity strength. After analyzing 173,071 Tweets authored by the leaders and health organizations, our findings indicate that United Arab Emirate’s Prime Minister had the highest online societal association (normalized online societal association: 1.000) followed by the leaders of Canada and Turkey (normalized online societal association: 0.068 and 0.033, respectively); and among the healthcare organizations, the Public Health Agency of Canada was the most impactful (normalized online societal association: 1.000) followed by the healthcare agencies of Turkey and Spain (normalized online societal association: 0.632 and 0.094 respectively). In comparison to healthcare organizations, the leaders displayed a strong awareness of individual factors and generalized their Tweets to a broader audience. The findings also suggest that users prefer accessing social media platforms for information during health emergencies and that leaders and healthcare institutions should realize the potential to use them effectively. © Copyright 2022 Baxi et al. Distributed under Creative Commons CC-BY 4.0
引用
收藏
相关论文
共 46 条
[1]  
Al-Dmour H, Masa'deh R, Salman A, Abuhashesh M, Al-Dmour R., Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: integrated model, Journal of Medical Internet Research, 22, 8, (2020)
[2]  
Benetoli A, Chen T, Aslani P., How patients’ use of social media impacts their interactions with healthcare professionals, Patient Education and Counseling, 101, 3, pp. 439-444, (2018)
[3]  
Bertot JC, Jaeger PT, Munson S, Glaisyer T., Social media technology and government transparency, Computer, 43, 11, pp. 53-59, (2010)
[4]  
Bhat V, Yadav A, Yadav S, Chandrasekaran D, Mago V., AdCOFE: advanced contextual feature extraction in conversations for emotion classification, PeerJ Computer Science, 7, 4, (2021)
[5]  
Bhattacharya S, Srinivasan P, Polgreen P., Social media engagement analysis of us federal health agencies on Facebook, BMC Medical Informatics and Decision Making, 17, 1, pp. 1-12, (2017)
[6]  
Bonson E, Bednarova M., The use of YouTube in western European municipalities, Government Information Quarterly, 35, 2, pp. 223-232, (2018)
[7]  
Bonson E, Perea D, Bednarova M., Twitter as a tool for citizen engagement: an empirical study of the Andalusian municipalities, Government Information Quarterly, 36, 3, pp. 480-489, (2019)
[8]  
Bonson E, Ratkai M., A set of metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page, Online Information Review, 37, 5, pp. 787-803, (2013)
[9]  
Bonson E, Royo S, Ratkai M., Citizens’ engagement on local governments’ Facebook sites. An empirical analysis: the impact of different media and content types in Western Europe, Government Information Quarterly, 32, 1, pp. 52-62, (2015)
[10]  
Bonson E, Royo S, Ratkai M., Facebook practices in Western European municipalities: an empirical analysis of activity and citizens’ engagement, Administration & Society, 49, 3, pp. 320-347, (2017)