TY  - JOUR
PB  - ASSOC COMPUTING MACHINERY
N2  - 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.
ID  - discovery1552665
KW  - Human factors
KW  -  privacy
KW  -  personal mobile data
KW  -  mobile sensing
KW  -  social computing
KW  -  living labs
Y1  - 2017/05//
AV  - public
EP  - 19
TI  - Anonymous or Not? Understanding the Factors Affecting Personal Mobile Data Disclosure
UR  - http://dx.doi.org/10.1145/3017431
SN  - 1557-6051
A1  - Perentis, C
A1  - Vescovi, M
A1  - Leonardi, C
A1  - Moiso, C
A1  - Musolesi, M
A1  - Pianesi, F
A1  - Lepri, B
JF  - ACM Transactions on Internet Technology
VL  - 17
IS  - 2
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ER  -