E-privacy concerns: a facet theoretical approach

Although the ubiquitous use of smartphones and social media poses serious risks to the privacy of users, research is sparse regarding how users perceive these risks. We present a study investigating the perception of e-privacy risks, assuming that risk perception depends on context and situation, and employing a facet theory approach to define and analyze privacy risk perceptions. Specifically, we define three facets that characterize situations involving an e-privacy risk: Facet A refers to the type of data disclosed, distinguishing three types: a person's identity information, information about health, and information about private activities. Facet B refers to the type of actor misusing the information, distinguishing between commercial organizations, public authorities, social networks, and criminal actors. Facet C distinguishes three kinds of harm that might be experienced as a consequence: financial loss, physical harm, and negative psycho-social experiences. Questionnaire items were constructed by creating fictitious but realistic scenarios, each representing a combination of one element from each facet, yielding 36 (3 x 4 x 3) scenarios. For each scenario, respondents rated the likelihood and the negativity of experiencing that scenario. Following the facet theoretical paradigm, item intercorrelations were analyzed via ordinal multidimensional scaling. Results from a representative survey among 500 adult Norwegians yield a distinct partitioning with respect to Facets A and B, called a radex configuration. Facet B (actors) shows an angular partition. Facet C (type of harm) yields a contrast of financial versus psycho-social harm. In sum, we conclude that our three-faceted definition provides a satisfying first approximation to people's perception of privacy risks on the Internet while remaining open for extensions with additional facets.

Automated summary

This study investigates how users perceive the risks to privacy posed by smartphones and social media. The researchers define three facets of e-privacy risks and use a questionnaire to analyze people's perception of these risks. The results suggest that people have different perceptions of risks depending on the type of data disclosed and the type of actor misusing the information.