IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v41y2022i16p3450-3469.html
   My bibliography  Save this article

Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic

Author

Listed:
  • Antonela Tommasel
  • Andrés Diaz-Pace
  • Daniela Godoy
  • Juan Manuel Rodriguez

Abstract

The COVID-19 pandemic has affected all aspects of society, bringing health hazards and posing challenges to public order, governments, and mental health. This study examines the stages of crisis response and recovery as a sociological problem by operationalising a well-known model of crisis stages in terms of a psycho-linguistic analysis. Based on an extensive collection of Twitter data spanning from March to August 2020 in Argentina, we present a thematic study on the differences in language used in social media posts and look at indicators that reveal the distinctive stages of a crisis and the country response thereof. The analysis was combined with a study of the temporal prevalence of mental health related conversations and emotions. This approach can provide insights for public health policy design to monitor and eventually intervene during the different stages of a crisis, thus improving the adverse mental health effects on the population.

Suggested Citation

  • Antonela Tommasel & Andrés Diaz-Pace & Daniela Godoy & Juan Manuel Rodriguez, 2022. "Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(16), pages 3450-3469, December.
    • Handle: RePEc:taf:tbitxx:v:41:y:2022:i:16:p:3450-3469
    DOI: 10.1080/0144929X.2021.1998630
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2021.1998630
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0144929X.2021.1998630?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    More about this item

    Statistics

    Access and download statistics

    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:taf:tbitxx:v:41:y:2022:i:16:p:3450-3469. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.