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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Acknowledgments
This work is partially supported by the Spanish Government project TIN2017-89156-R, and the FPI grant BES-2015-074498.
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Alemany, J., del Val, E., García-Fornes, A. (2020). Assisting Users on the Privacy Decision-Making Process in an OSN for Educational Purposes. In: Demazeau, Y., Holvoet, T., Corchado, J., Costantini, S. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection. PAAMS 2020. Lecture Notes in Computer Science(), vol 12092. Springer, Cham. https://doi.org/10.1007/978-3-030-49778-1_31
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DOI: https://doi.org/10.1007/978-3-030-49778-1_31
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