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

Perentis, C; Vescovi, M; Leonardi, C; Moiso, C; Musolesi, M; Pianesi, F; Lepri, B; (2017) Anonymous or Not? Understanding the Factors Affecting Personal Mobile Data Disclosure. ACM Transactions on Internet Technology , 17 (2) , Article 13. 10.1145/3017431. Green open access

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Abstract

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 make 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.

Type: Article
Title: Anonymous or Not? Understanding the Factors Affecting Personal Mobile Data Disclosure
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3017431
Publisher version: http://dx.doi.org/10.1145/3017431
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Human factors, privacy, personal mobile data, mobile sensing, social computing, living labs
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1552665
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