One click privacy for online social networks
Journal article, Peer reviewed
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Original versionLecture Notes in Computer Science. 2017, 10489 LNCS 435-442. 10.1007/978-3-319-66284-8_37
We present an approach to reduce the complexity of adjusting privacy preferences for multiple online social networks. To achieve this, we quantify the effect on privacy for choices that users make, and simplify configuration by introducing privacy configuration as a service. We present an algorithm that effectively measures privacy and adjusts privacy settings across social networks. The aim is to configure privacy with one click.