Towards a Model on the Factors Influencing Social App Users’ Valuation of Interdependent Privacy

Authors: Yu Pu (College of Information Sciences and Technology, The Pennsylvania State University), Jens Grossklags (College of Information Sciences and Technology, The Pennsylvania State University)

Volume: 2016
Issue: 2
Pages: 61–81

Download PDF

Abstract: In the context of third-party social apps, the problem of interdependency of privacy refers to users making app adoption decisions which cause the collection and utilization of personal information of users’ friends. In contrast, users’ friends have typically little or no direct influence over these decision-making processes. We conduct a conjoint analysis study with two treatment conditions which vary the app data collection context (i.e., to which degree the functionality of the app makes it necessary for the app developer to collect friends’ information). Analyzing the data, we are able to quantify the monetary value which app users place on their friends’ and their own personal information in each context. Combining these valuations with the responses to a comprehensive survey, we apply structural equation modeling (SEM) analysis to investigate the roles of privacy concern, its antecedents, as well as app data collection context to work towards a model of interdependent privacy for the scenario of third-party social app adoption. We find that individuals’ past experiences regarding privacy invasions are negatively associated with their trust for third-party social apps’ proper handling of their personal information, which in turn influences their concerns for their own privacy associated with third-party social apps. In addition, positive effects of users’ privacy knowledge on concerns for their own privacy and concerns for friends’ privacy regarding app adoption are partially supported. These privacy concerns are further found to affect how users value their own and their friends’ personal information. However, we are unable to support an association between users’ online social capital and their concerns for friends’ privacy. Nor do we have enough evidence to show that treatment conditions moderate the association between the concern for friends’ personal information and the value of such information in app adoption contexts.

Keywords: Third-party Social Apps, Interdependent Privacy, App Data Collection Context, Value of Privacy, Conjoint Analysis, Structural Equation Modeling, Online Survey Study

Copyright in PoPETs articles are held by their authors. This article is published under a Creative Commons Attribution-NonCommercial-NoDerivs license.