Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic.

Zhou, J; Sheppard-Law, S; Xiao, C; Smith, J; Lamb, A; Axisa, C; Chen, F

Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic.

Zhou, J Sheppard-Law, S

Xiao, C

Smith, J Lamb, A Axisa, C Chen, F

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Health Inf Sci Syst, 2023, 11, (1), pp. 28
Issue Date:: 2023-12

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Field	Value	Language
dc.contributor.author	Zhou, J
dc.contributor.author	Sheppard-Law, S https://orcid.org/0000-0002-9971-9343
dc.contributor.author	Xiao, C https://orcid.org/0000-0002-0725-1107
dc.contributor.author	Smith, J
dc.contributor.author	Lamb, A
dc.contributor.author	Axisa, C
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729
dc.date.accessioned	2023-07-20T07:10:57Z
dc.date.available	2023-05-26
dc.date.available	2023-07-20T07:10:57Z
dc.date.issued	2023-12
dc.identifier.citation	Health Inf Sci Syst, 2023, 11, (1), pp. 28
dc.identifier.issn	2047-2501
dc.identifier.issn	2047-2501
dc.identifier.uri	http://hdl.handle.net/10453/171588
dc.description.abstract	The nursing workforce is the largest discipline in healthcare and has been at the forefront of the COVID-19 pandemic response since the outbreak of COVID-19. However, the impact of COVID-19 on the nursing workforce is largely unknown as is the emotional burden experienced by nurses throughout the different waves of the pandemic. Conventional approaches often use survey question-based instruments to learn nurses' emotions, and may not reflect actual everyday emotions but the beliefs specific to survey questions. Social media has been increasingly used to express people's thoughts and feelings. This paper uses Twitter data to describe the emotional dynamics of registered nurse and student nurse groups residing in New South Wales in Australia during the COVID-19 pandemic. A novel analysis framework that considered emotions, talking topics, the unfolding development of COVID-19, as well as government public health actions and significant events was utilised to detect the emotion dynamics of nurses and student nurses. The results found that the emotional dynamics of registered and student nurses were significantly correlated with the development of COVID-19 at different waves. Both groups also showed various emotional changes parallel to the scale of pandemic waves and corresponding public health responses. The results have potential applications such as to adjust the psychological and/or physical support extended to the nursing workforce. However, this study has several limitations that will be considered in the future study such as not validated in a healthcare professional group, small sample size, and possible bias in tweets.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Springer Nature
dc.relation.ispartof	Health Inf Sci Syst
dc.relation.isbasedon	10.1007/s13755-023-00228-9
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	4203 Health services and systems
dc.subject.classification	4601 Applied computing
dc.title	Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic.
dc.type	Journal Article
utslib.citation.volume	11
utslib.location.activity	England
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Research Office
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Research Office/Research Office (RKIT)
utslib.copyright.status	in_progress	*
dc.date.updated	2023-07-20T07:10:52Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	11
utslib.citation.issue	1

Abstract:

The nursing workforce is the largest discipline in healthcare and has been at the forefront of the COVID-19 pandemic response since the outbreak of COVID-19. However, the impact of COVID-19 on the nursing workforce is largely unknown as is the emotional burden experienced by nurses throughout the different waves of the pandemic. Conventional approaches often use survey question-based instruments to learn nurses' emotions, and may not reflect actual everyday emotions but the beliefs specific to survey questions. Social media has been increasingly used to express people's thoughts and feelings. This paper uses Twitter data to describe the emotional dynamics of registered nurse and student nurse groups residing in New South Wales in Australia during the COVID-19 pandemic. A novel analysis framework that considered emotions, talking topics, the unfolding development of COVID-19, as well as government public health actions and significant events was utilised to detect the emotion dynamics of nurses and student nurses. The results found that the emotional dynamics of registered and student nurses were significantly correlated with the development of COVID-19 at different waves. Both groups also showed various emotional changes parallel to the scale of pandemic waves and corresponding public health responses. The results have potential applications such as to adjust the psychological and/or physical support extended to the nursing workforce. However, this study has several limitations that will be considered in the future study such as not validated in a healthcare professional group, small sample size, and possible bias in tweets.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/171588