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“Fool me once, shame on you… then, I learn.” An examination of information disclosure in social networking sites

  • Babajide Osatuyi(corresponding author)
    ,
  • ,
  • Aurelio Ravarini
    ,
  • Sukeshini A. Grandhi
*Corresponding author for this work
  • Black School of Business
    ,
  • St. John's University
    ,
  • LIUC
    ,
  • Eastern Connecticut State University
Research Output:
Contribution to journal
Article
Research
Peer-review

Abstract

This study investigates factors that affect user decisions on which information to share, and specifically whether and how to disclose sensitive personal information, when using social networking sites (SNSs). The determinants of personal information disclosure (self-disclosure) are identified using a framework that combines communication privacy management and social penetration theories. Communication privacy management theory is applied to identify which rules guide users’ sharing of personal information. Social penetration theory is used to understand personal information disclosure approaches—deep and shallow—that people employ on SNSs. Structural equation modeling was used to analyze data from 315 Facebook users who were also undergraduate students. Results show that individuals self-disclose more on SNSs when they know how to coordinate disclosure boundaries, and particularly when they have learned from prior privacy infringements. While types of relationships are important in determining self-disclosure approaches, SNSs users who have experienced a privacy breach follow different privacy coordination rules compared with those who have not experienced such an incident. Our results present an interesting twist in which the “fooled once” users show higher levels of information sharing at all levels. These users have learned their lessons and their way through privacy management options, eventually leading to a higher self-disclosure.

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Research
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 73-86 (14 pages)

Journal (Volume, Issue Number)

Computers in Human Behavior (Volume 83)

Publication milestones

  • Published - 06/2018

Publication status

Published - 06/2018

ISSN

0747-5632

Publication IDs

  • Scopus: 85041386922