Heng Xu

TL;DR: An interdisciplinary review of privacy-related research is provided in order to enable a more cohesive treatment and recommends that researchers be alert to an overarching macro model that is referred to as APCO (Antecedents → Privacy Concerns → Outcomes).

TL;DR: This study extends the privacy calculus model to explore the role of information delivery mechanisms (pull and push) in the efficacy of three privacy intervention approaches (compensation, industry self-regulation, and government regulation) in influencing individual privacy decision making and suggests that providing financial compensation for push-based LBS is more important than it is for pull- based LBS.

TL;DR: This work proposes the Lexical Syntactic Feature (LSF) architecture to detect offensive content and identify potential offensive users in social media, and incorporates a user's writing style, structure and specific cyber bullying content as features to predict the user's potentiality to send out offensive content.

TL;DR: Results suggest that the influences of personalization on the privacy risk/benefit beliefs vary upon the type of personalized systems (covert and overt), and that personal characteristics moderate the parameters and path structure of the privacy calculus model.

TL;DR: A research model suggests that an individual’s privacy concerns form through a cognitive process involving perceived privacy risk, privacy control, and his or her disposition to value privacy, and individuals’ perceptions of institutional privacy assurances are posited to affect the riskcontrol assessment from information disclosure.