Text Document

Improving Personal Privacy in Social Systems with People-Tagging

Fulltext URI

Document type

Additional Information



Journal Title

Journal ISSN

Volume Title


Association for Computing Machinery


The recent emergence of social systems has transformed the Web from an information pool to a platform for communication and social interaction. As such, the issue of managing privacy of various types of user-created content in these open environments has become more of a concern. Existing social systems often define privacy either as a private/public dichotomy or in terms of a network of friends relationship, in which all friends" are created equal and all relationships are reciprocal. We explore instead the idea of tagging people to create ego-centric groups of dynamic, non-reciprocal relationships to improve privacy management in this domain. In this paper, we introduce the principles and motivations behind people-tagging, discuss constraints that make people-tagging safe, trustable, and spam-free, describe a research implementation we have created to experiment with the concept, and provide the results of a preliminary empirical evaluation which shows the strength of the idea and indicates areas for future enhancements."


Razavi, Maryam Najafian; Iverson, Lee (2009): Improving Personal Privacy in Social Systems with People-Tagging. Proceedings of the 2009 ACM International Conference on Supporting Group Work. DOI: 10.1145/1531674.1531677. New York, NY, USA: Association for Computing Machinery. pp. 11–20. Sanibel Island, Florida, USA