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Article: Investigating Public Discourses Around Gender and COVID-19: a Social Media Analysis of Twitter Data

TitleInvestigating Public Discourses Around Gender and COVID-19: a Social Media Analysis of Twitter Data
Authors
KeywordsCOVID-19
Gender
Twitter
Social media
Public discourses
Issue Date2021
PublisherSpringer. The Journal's web site is located at https://www.springer.com/journal/41666
Citation
Journal of Healthcare Informatics Research, 2021, v. 5 n. 3, p. 249-269 How to Cite?
AbstractWe collected over 50 million tweets referencing COVID-19 to understand the public’s gendered discourses and concerns during the pandemic. We filtered the tweets based on English language and among three gender categories: men, women, and sexual and gender minorities. We used a mixed-method approach that included topic modelling, sentiment analysis, and text mining extraction procedures including words’ mapping, proximity plots, top hashtags and mentions, and most retweeted posts. Our findings show stark differences among the different genders. In relation to women, we found a salient discussion on the risks of domestic violence due to the lockdown especially towards women and girls, while emphasizing financial challenges. The public discourses around SGM mostly revolved around blood donation concerns, which is a reminder of the discrimination against some of these communities during the early days of the HIV/AIDS epidemic. Finally, the discourses around men were focused on the high death rates and the sentiment analysis results showed more negative tweets than among the other genders. The study concludes that Twitter influencers can drive major online discussions which can be useful in addressing communication needs during pandemics.
Persistent Identifierhttp://hdl.handle.net/10722/304161
ISSN
2023 Impact Factor: 5.4
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAl-Rawi, A-
dc.contributor.authorGrepin, K-
dc.contributor.authorLi, X-
dc.contributor.authorMorgan, R-
dc.contributor.authorWenham, C-
dc.contributor.authorSmith, J-
dc.date.accessioned2021-09-23T08:56:04Z-
dc.date.available2021-09-23T08:56:04Z-
dc.date.issued2021-
dc.identifier.citationJournal of Healthcare Informatics Research, 2021, v. 5 n. 3, p. 249-269-
dc.identifier.issn2509-4971-
dc.identifier.urihttp://hdl.handle.net/10722/304161-
dc.description.abstractWe collected over 50 million tweets referencing COVID-19 to understand the public’s gendered discourses and concerns during the pandemic. We filtered the tweets based on English language and among three gender categories: men, women, and sexual and gender minorities. We used a mixed-method approach that included topic modelling, sentiment analysis, and text mining extraction procedures including words’ mapping, proximity plots, top hashtags and mentions, and most retweeted posts. Our findings show stark differences among the different genders. In relation to women, we found a salient discussion on the risks of domestic violence due to the lockdown especially towards women and girls, while emphasizing financial challenges. The public discourses around SGM mostly revolved around blood donation concerns, which is a reminder of the discrimination against some of these communities during the early days of the HIV/AIDS epidemic. Finally, the discourses around men were focused on the high death rates and the sentiment analysis results showed more negative tweets than among the other genders. The study concludes that Twitter influencers can drive major online discussions which can be useful in addressing communication needs during pandemics.-
dc.languageeng-
dc.publisherSpringer. The Journal's web site is located at https://www.springer.com/journal/41666-
dc.relation.ispartofJournal of Healthcare Informatics Research-
dc.subjectCOVID-19-
dc.subjectGender-
dc.subjectTwitter-
dc.subjectSocial media-
dc.subjectPublic discourses-
dc.titleInvestigating Public Discourses Around Gender and COVID-19: a Social Media Analysis of Twitter Data-
dc.typeArticle-
dc.identifier.emailGrepin, K: kgrepin@hku.hk-
dc.identifier.authorityGrepin, K=rp02646-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1007/s41666-021-00102-x-
dc.identifier.pmid34258510-
dc.identifier.pmcidPMC8266166-
dc.identifier.scopuseid_2-s2.0-85109636944-
dc.identifier.hkuros325385-
dc.identifier.volume5-
dc.identifier.issue3-
dc.identifier.spage249-
dc.identifier.epage269-
dc.identifier.isiWOS:000672725000001-
dc.publisher.placeSwitzerland-

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