Abstract
In online social networks (OSNs), users create and share content to socialize with others. There are some privacy risks that emerge due to the access and/or misuse of this content. We propose a modular approach with an agent-based implementation for assessing the privacy risk of a posting action using soft-paternalism mechanisms. This proposal has been included in a gamified social network called Pesedia, developed with educational purposes.
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CITATION STYLE
Alemany, J., del Val, E., & García-Fornes, A. (2020). Assisting Users on the Privacy Decision-Making Process in an OSN for Educational Purposes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12092 LNAI, pp. 379–383). Springer. https://doi.org/10.1007/978-3-030-49778-1_31
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