Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers
Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel
2023Year
7Citations
Abstract
In this paper, we describe a new algorithm called Preferential Attac hment k-class Classifier (PreAttacK) for detecting fake accounts in a social network. Recently, several algorithms have obtained high accuracy on this problem. However, they have done so by relying on information about fake accounts' friendships or the content they share with others-the very things we seek to prevent.
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