Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers. (arXiv:2308.05353v1 [cs.SI])

In this paper, we describe a new algorithm called Preferential Attachment
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.

PreAttacK represents a significant departure from these approaches. We
provide some of the first detailed distributional analyses of how new fake (and …

accounts accuracy algorithm algorithms attachment called class detection fake fake accounts high information network networks problem social social network social networks