VeilMe

Abstract

With the recent advances in using data analytics to automatically infer one's personality traits from their social media data, users are facing a growing tension between the use of the technology to aid self development in workplace and the privacy concerns of such use. Given the richness of personality data that can be derived today and the varied sensitivity of revealing such data, it is a non-trivial task for users to configure their privacy settings for sharing and protecting their derived personality data. Here we present the design, development, and evaluation of an interactive visualization tool, VeilMe, which helps users configure the privacy settings for the use of their personality portraits derived from social media. Unlike other privacy configuration tools, our tool offers two distinct advantages. First, it presents a novel and intuitive visual interface that aids users in understanding and exploring their own personality traits derived from their social media data, and configuring their privacy preferences. Second, our tool helps users to jump start their privacy settings by suggesting initial sharing strategies based on a set of factors, including the users' personality and target audience. We have evaluated the use of our tool with 124 participants in an enterprise context. Our results show that VeilMe effectively supports various user privacy configuration tasks, and also suggest several design implications, including the approaches to personalized privacy configurations.

Interaction and Visualization Design for User Privacy Interface on Online Social Networks

“…As such, a reasonable combination may provide a better alternative [34]. An interesting approach, in which automatic privacy configuration is coupled with visual interface design, was proposed in VeilMe [35]. VeilMe learns the privacy personality of end users based on their social activities.…”

Survey on Access Control for Community-Centered Collaborative Systems

“…For example, Facebook provides the "View As" tool that allows a user to see how its profile appears to the public, friends or a specific social network user. 3 Other tools have been proposed to support users in configuring their social network privacy settings like PViz [Mazzia et al 2012] and VeilMe [Wang et al 2015]. PViz provides a graphical interface based on a bubble chart to visualize sharing settings in Facebook and provides support to generate social groups from public profile information automatically in order to reduce configuration efforts (Figure 2a).…”

“…MController [Hu et al 2013] is a voting-based tool for the collaborative management of shared resources (Figure 3a). MController allows the owner of a shared photo to select and configure the conflict resolution mechanism, possibly accounting for the sharing preferences of the other con-(a) PViz [Mazzia et al 2012] (b) VeilMe [Wang et al 2015] trollers of the photo. Retinue [Hu et al 2011] is a risk-based collaborative data sharing mechanism that allows a systematic detection and resolution of multi-party conflicts in online social networks (Figure 3b).…”