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Behaviors, adverse events, and dispositions: An empirical study of online discretion and information control

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  • Coye Cheshire
  • Judd Antin
  • Elizabeth Churchill

Abstract

In this article, the authors develop hypotheses about three key correlates of attitudes about discretionary online behaviors and control over one's own online information: frequency of engaging in risky online behaviors, experience of an online adverse event, and the disposition to be more or less trusting and cautious of others. Through an analysis of survey results, they find that online adverse events do not necessarily relate to greater overall Web discretion, but they do significantly associate with users' perceptions of Web information control. However, the frequencies with which individuals engage in risky online activities and behaviors significantly associate with both online discretion and information control. In addition, general dispositions to trust and be cautious are strongly related to prudent Internet behavior and attitudes about managing personal online information. The results of this study have clear consequences for our understanding of behaviors and attitudes that might lead to greater online social intelligence, or the ability to make prudent decisions in the presence of Internet uncertainties and risks. Implications for theory and practice are discussed.

Suggested Citation

  • Coye Cheshire & Judd Antin & Elizabeth Churchill, 2010. "Behaviors, adverse events, and dispositions: An empirical study of online discretion and information control," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1487-1501, July.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:7:p:1487-1501
    DOI: 10.1002/asi.21346
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    Cited by:

    1. Muhammad Waqas & Alishba Hania & Farzan Yahya & Iqra Malik, 2023. "Enhancing Cybersecurity: The Crucial Role of Self-Regulation, Information Processing, and Financial Knowledge in Combating Phishing Attacks," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. 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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