Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers
Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel
2023年份
7被引次数
摘要
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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它引用的顶会 Paper3
- Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social NetworksAdam Breuer, Roee Eilat, Udi WeinsbergWWW 2020 · 被引用 89 次
- Causal Understanding of Fake News Dissemination on Social MediaLu Cheng, Ruocheng Guo, Kai Shu, Huan LiuKDD 2021 · 被引用 69 次
- Deep Entity Classification: Abusive Account Detection for Online Social NetworksTeng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir 等USENIX Security 2021 · 被引用 41 次
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