Privacy Risk Assessment of Textual Publications in Social Networks

David Sanchez, Alexandre Viejo

2015

Abstract

Recent studies have warned that, in Social Networks, users usually publish sensitive data that can be exploited by dishonest parties. Some mechanisms to preserve the privacy of the users of social networks have been proposed (i.e. controlling who can access to a certain published data); however, a still unsolved problem is the lack of proposals that enable the users to be aware of the sensitivity of the contents they publish. This situation is especially true in the case of unstructured textual publications (i.e., wall posts, tweets, etc.). These elements are considered to be particularly dangerous from the privacy point of view due to their dynamism and high informativeness. To tackle this problem, in this paper we present an automatic method to assess the sensitivity of the user’s textual publications according to her privacy requirements towards the other users in the social network. In this manner, users can have a clear picture of the privacy risks inherent to their publications and can take the appropriate countermeasures to mitigate them. The feasibility of the method is studied in a highly sensitive social network: PatientsLikeMe.

Paper Citation

in Harvard Style

Sanchez D. and Viejo A. (2015). Privacy Risk Assessment of Textual Publications in Social Networks . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-073-4, pages 236-241. DOI: 10.5220/0005281202360241

in Bibtex Style

@conference{icaart15,
author={David Sanchez and Alexandre Viejo},
title={Privacy Risk Assessment of Textual Publications in Social Networks},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={236-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005281202360241},
isbn={978-989-758-073-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Privacy Risk Assessment of Textual Publications in Social Networks
SN - 978-989-758-073-4
AU - Sanchez D.
AU - Viejo A.
PY - 2015
SP - 236
EP - 241
DO - 10.5220/0005281202360241