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

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  • 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
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    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.
    3. Zhang, Xiaoxue & Zhang, Zizhong, 2024. "Leaking my face via payment: Unveiling the influence of technology anxiety, vulnerabilities, and privacy concerns on user resistance to facial recognition payment," Telecommunications Policy, Elsevier, vol. 48(3).

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