IDEAS home Printed from https://ideas.repec.org/a/taf/ugitxx/v17y2014i4p228-249.html
   My bibliography  Save this article

Privacy Coping and Information-Sharing Behaviors in Social Media: A Comparison of Chinese and U.S. Users

Author

Listed:
  • Hamid Nemati
  • Jeffrey D. Wall
  • Anthony Chow

Abstract

Although many studies examine privacy in social media settings, few studies examine privacy issues that may arise due to characteristics of user populations. This study compares privacy issues among social media users in the United States and China. It also explores privacy issues among users with different levels of Internet addiction and different online identity perceptions. In doing so, it identifies several populations that are more susceptible to privacy violations due to their online behaviors. The study finds that U.S. and Chinese users differ in their privacy coping and information-sharing behaviors. Chinese users may be at greater risk to privacy violations because of their online behaviors. Additionally, users addicted to social media and users with different online identities may be vulnerable to privacy violations. Potential explanations for these findings are provided and directions for future research are offered.

Suggested Citation

  • Hamid Nemati & Jeffrey D. Wall & Anthony Chow, 2014. "Privacy Coping and Information-Sharing Behaviors in Social Media: A Comparison of Chinese and U.S. Users," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 17(4), pages 228-249, October.
    • Handle: RePEc:taf:ugitxx:v:17:y:2014:i:4:p:228-249
    DOI: 10.1080/1097198X.2014.978622
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1097198X.2014.978622
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1097198X.2014.978622?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.

    Citations

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


    Cited by:

    1. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    2. Dong Han, 2017. "The Market Value of Who We Are: The Flow of Personal Data and Its Regulation in China," Media and Communication, Cogitatio Press, vol. 5(2), pages 21-30.

    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:ugitxx:v:17:y:2014:i:4:p:228-249. 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/ugit .

    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.