TY - JOUR
T1 - “Fool me once, shame on you… then, I learn.” An examination of information disclosure in social networking sites
AU - Osatuyi, Babajide
AU - Passerini, Katia
AU - Ravarini, Aurelio
AU - Grandhi, Sukeshini A.
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/6
Y1 - 2018/6
N2 - 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.
AB - 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.
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U2 - 10.1016/j.chb.2018.01.018
DO - 10.1016/j.chb.2018.01.018
M3 - Article
AN - SCOPUS:85041386922
SN - 0747-5632
VL - 83
SP - 73
EP - 86
JO - Computers in Human Behavior
JF - Computers in Human Behavior
ER -