Title :
Toward a privacy model for social networking services
Author :
Long, Daniel ; Cleveland, Simon
Author_Institution :
Grad. Sch. of Comput. & Inf. Sci., Nova Southeastern Univ., Fort Lauderdale, FL, USA
Abstract :
Users´ willingness to engage in sharing personal identifiable information (PII) via social networking services (SNS) is impacted by a set of formative factors that structure the personal value system. In this study, we argue that the strength of this impact is moderated by a number of episodic factors that develop prior to the actual use of the SNS. A causal model that explains the relationships between the constructs is proposed.
Keywords :
data privacy; social networking (online); PII; SNS; causal model; episodic factors; formative factors; personal identifiable information; personal value system; privacy model; social networking services; Calculus; Computational modeling; Computers; Cost benefit analysis; Information technology; Privacy; Social network services; Personal Identifiable Information; Privacy; Rational Choice Theory; Social Networking; Trust Factors;
Conference_Titel :
SoutheastCon 2015
Conference_Location :
Fort Lauderdale, FL
DOI :
10.1109/SECON.2015.7133032
