HKU Data Repository
Browse
DATASET
WuhanDiary+lockdown_2021.csv (1.51 MB)
DATASET
WuhanDiary+lockdown_2021-keywords.csv (2.11 kB)
1/0
2 files

Data in the paper titled "#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic"

dataset
posted on 2022-03-31, 15:02 authored by King Wa FuKing Wa Fu, Sara DaviesSara Davies, Karen Ann Grépin, Clare Wenham, Connie Gan, Feng Shuo
Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users’ experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China’s leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.

To cite: Gan CCR, Feng SA, Feng H, et al. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;0:e008149. doi:10.1136/bmjgh-2021-008149

Funding

Canadian Institutes of Health Research (CIHR) Rapid Research Funding Grant for the project, Understanding and mitigating real-time differential gendered effects of the COVID-19 outbreak, Agency grant number: 7170639.

History

Usage metrics

    Faculty of Social Sciences

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC