IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i7p775-d104585.html
   My bibliography  Save this article

An Analysis of Anxiety-Related Postings on Sina Weibo

Author

Listed:
  • Xianyun Tian

    (School of Management, Harbin Institute of Technology, Harbin 150001, China)

  • Fang He

    (School of Management, Harbin Institute of Technology, Harbin 150001, China)

  • Philip Batterham

    (Centre for Mental Health Research, The Australian National University, Canberra, ACT 2601, Australia)

  • Zheng Wang

    (School of Management, Harbin Institute of Technology, Harbin 150001, China)

  • Guang Yu

    (School of Management, Harbin Institute of Technology, Harbin 150001, China)

Abstract

This study examines anxiety-related postings on Sina Weibo to gain insight into social networking about mental health. The themes of a random sample of anxiety-related postings ( n = 1000) were assessed. The disclosure of anxiety was the most common theme. The prevalence of anxiety was higher in certain areas where the economy is stronger than others, and the people living there suffered from more stress. Users who talked about feeling anxious tended to be more active on social media during leisure hours and less active during work hours. Our findings may be developed to detect and help individuals who may suffer from anxiety disorders at a low cost.

Suggested Citation

  • Xianyun Tian & Fang He & Philip Batterham & Zheng Wang & Guang Yu, 2017. "An Analysis of Anxiety-Related Postings on Sina Weibo," IJERPH, MDPI, vol. 14(7), pages 1-10, July.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:7:p:775-:d:104585
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/7/775/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/14/7/775/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xianyun Tian & Philip Batterham & Shuang Song & Xiaoxu Yao & Guang Yu, 2018. "Characterizing Depression Issues on Sina Weibo," IJERPH, MDPI, vol. 15(4), pages 1-11, April.

    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:gam:jijerp:v:14:y:2017:i:7:p:775-:d:104585. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.