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Name: Ronald
Family Name: LEENES
Affiliation: TILT, the Tilburg Institute for Law, Technology, and Society (Tilburg University)
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Short BIO
Dr. Ronald Leenes is associate professor in IT, law and (new) technology at TILT, the Tilburg Institute for Law, Technology, and Society (Tilburg University). His primary research interest is regulation of, and by, technology, in particular applied to privacy and identity management, and Online Dispute Resolution. Leenes (1964) received his PhD for a study on hard cases in law and Artificial Intelligence and Law from the University of Twente. Ronald was work package leader in the EU FP6 PRIME project. Currently he leads a work package on access control in social networks in the FP7 PrimeLife project. He has contributed to and edited various deliverables for the EU FP6 Network of Excellence 'Future of IDentity in the Information Society' (FIDIS), and he participates in the Network of Excellence 'Legal Framework for the Information Society' (LEFIS).
Ronald was Secretary of IFIP WG 8.5 'Information Systems in Public Administration' and Secretary/treasurer of the International Association for Artificial Intelligence and law (IAAIL). He served on the programme commission of various international E-government and AI and Law conferences.
Abstract
Social Network Sites (SNS) are very popular social media, especially amongst teenagers. The amount of (intimate) personal data disclosed by the participants on these networks has raised many eyebrows by the privacy concerned and SNSs are more and more seen as privacy disasters. Many studies and reports point at raising the awareness of the SNS users regarding the privacy issues. This advice misses the point. SNS users know the risks and yet engage in exhibitionist behaviour. The reason for this can be found in the social dynamic of the networks. SNSs are essential tools for teenagers to develop their identity, learn how to behave in groups and build social capital. This presentation will provide a sociological analysis of Social Network Sites and explore ways to limit the privacy issues keeping in mind the social function of the networks.
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