CYCRHCJan 28, 2017

Anonymous or not? Understanding the Factors Affecting Personal Mobile Data Disclosure

arXiv:1701.08308v117 citations
Originality Synthesis-oriented
AI Analysis

This addresses privacy decision-making for mobile users, but is incremental as it builds on existing research on data disclosure factors.

The study investigated factors influencing personal mobile data disclosure, finding that social interaction inferred from mobile phones significantly predicts willingness to share location and social data, with insights from a field study of 63 subjects.

The wide adoption of mobile devices and social media platforms have dramatically increased the collection and sharing of personal information. More and more frequently, users are called to take decisions concerning the disclosure of their personal information. In this study, we investigate the factors affecting users' choices toward the disclosure of their personal data, including not only their demographic and self-reported individual characteristics, but also their social interactions and their mobility patterns inferred from months of mobile phone data activity. We report the findings of a field-study conducted with a community of 63 subjects provided with (i) a smart-phone and (ii) a Personal Data Store (PDS) enabling them to control the disclosure of their data. We monitor the sharing behavior of our participants through the PDS, and evaluate the contribution of different factors affecting their disclosing choices of location and social interaction data. Our analysis shows that social interaction inferred by mobile phones is an important factor revealing willingness to share, regardless of the data type. In addition, we provide further insights on the individual traits relevant to the prediction of sharing behavior.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes