Detecting and Analyzing Privacy Leaks in Tweets

Paolo Cappellari, Soon Chun, Christopher Costello

Abstract

Social network platforms are changing the way people interact not just with each other but also with companies and institutions. In sharing information on these platforms, users often underestimate potential consequences, especially when such information discloses personal information. For such reason, actionable privacy awareness and protection mechanisms are becoming of paramount importance. In this paper we propose an approach to assess the privacy content of the social posts with the goal of: protecting the users from inadvertently disclosing sensitive information, and rising awareness about privacy in online behavior. We adopt a machine learning approach based on a crowd-sourced definition of privacy that can assess whether messages are disclosing sensitive information. Our approach can automatically detect messages carrying sensitive information, so to warn users before sharing a post, and provides a set of analysis to rise users awareness about online behavior related to privacy disclosure.

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Paper Citation


in Harvard Style

Cappellari P., Chun S. and Costello C. (2018). Detecting and Analyzing Privacy Leaks in Tweets.In Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-318-6, pages 265-275. DOI: 10.5220/0006845602650275


in Bibtex Style

@conference{data18,
author={Paolo Cappellari and Soon Chun and Christopher Costello},
title={Detecting and Analyzing Privacy Leaks in Tweets},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2018},
pages={265-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006845602650275},
isbn={978-989-758-318-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Detecting and Analyzing Privacy Leaks in Tweets
SN - 978-989-758-318-6
AU - Cappellari P.
AU - Chun S.
AU - Costello C.
PY - 2018
SP - 265
EP - 275
DO - 10.5220/0006845602650275