IDEAS home Printed from https://ideas.repec.org/a/oup/geronb/v76y2021i7pe306-e312..html
   My bibliography  Save this article

A Thematic Analysis of Weibo Topics (Chinese Twitter Hashtags) Regarding Older Adults During the COVID-19 Outbreak

Author

Listed:
  • Wanyu Xi
  • Wenqian Xu
  • Xin Zhang
  • Liat Ayalon
  • Deborah S Carr

Abstract

ObjectivesWe explored the portrayal of older adults and the public response to topics concerning older adults during the COVID-19 pandemic in Chinese social media (Weibo topics, equivalent to hashtags on Twitter). We also explored the temporal trends of dominant themes to identify changes over time.MethodsTopics related to older adults were searched in the Weibo topic search engine between January 20 and April 28, 2020. Overall, 241 topics and their view frequency and comment frequency were collected. Inductive thematic analysis was conducted to classify the topics into themes. The popularity of each theme was also analyzed. In addition, the frequency with which each theme appeared during the 3 major stages of the pandemic (outbreak, turnover, and post-peak) was reported.ResultsSix main themes were identified. “Older adults contributing to the community” was the most prominent theme with the highest average comment frequency per topic. It was also the most dominant theme in the first stage of the pandemic. “Older patients in hospitals” was the second most prominent theme and the most dominant theme in the second and third stages of the pandemic. The percentage of topics with the themes “Care recipients” and “Older adults caring for the young” increased over time.DiscussionThe portrayal of older people as being warm, competent, and actively exercising their agency is prevalent on Weibo. The Weibo-viewing public shows signs of interest in intergenerational solidarity during the pandemic in China. These findings are different from findings reported by studies conducted in the West.

Suggested Citation

  • Wanyu Xi & Wenqian Xu & Xin Zhang & Liat Ayalon & Deborah S Carr, 2021. "A Thematic Analysis of Weibo Topics (Chinese Twitter Hashtags) Regarding Older Adults During the COVID-19 Outbreak," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(7), pages 306-312.
  • Handle: RePEc:oup:geronb:v:76:y:2021:i:7:p:e306-e312.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/geronb/gbaa148
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:geronb:v:76:y:2021:i:7:p:e306-e312.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/psychsocgerontology .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.