In this paper we present the DataBait platform, a set of privacy awareness tools and methods that offer online social network (OSN) users the ability to better manage their online presence and to better understand the economic value of their shared data in the context of EU FP7 USEMP project [17]. DataBait offers transparency on how users of OSNs may be profiled by their providers and third parties, while making visible what information they unknowingly disclose about themselves. Simultaneously DataBait offers tools to automatically change one’s privacy settings, based on the profile transparency that is provided. The paper starts by recounting the privacy paradox that refers to people sharing their private information even though they explicitly indicate that they would rather not share so much. It then explains how the DataBait tools will contribute to a new form of user empowerment, capable of reducing the privacy paradox. We follow up with an explanation of the legal ground that covers the processing of personal data, discussing the Data Licensing Agreement. Finally, we explain the architecture of the DataBait platform, hoping to clarify that and how data mining operations on the side of the users can enhance their awareness of the knowledge and information they leak while interacting with their preferred OSN.
Original languageEnglish
Number of pages15
Publication statusPublished - 24 Oct 2015
EventAmsterdam Privacy Conference - , Netherlands
Duration: 23 Oct 201526 Oct 2015

Conference

ConferenceAmsterdam Privacy Conference
CountryNetherlands
Period23/10/1526/10/15

    Research areas

  • Privacy, Facebook, Online social networks, User empowerment

ID: 22290086