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We enhance existing and introduce new social network privacy management models and we measure their human effects. First, we introduce a mechanism using proven clustering techniques that assists users in grouping their friends for traditional group-based policy management approaches. We found measurable agreement between clusters and user-defined relationship groups. Second, we introduce a new privacy...
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