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

Babajide Osatuyi, Katia Passerini, Aurelio Ravarini, Sukeshini A. Grandhi

Research output: Contribution to journalArticle

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)73-86
Number of pages14
JournalComputers in Human Behavior
Volume83
DOIs
StatePublished - Jun 1 2018

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

Cite this