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What is Detecting Twitter Spammers: A Hybrid Approach about?

This document summarizes research on detecting automated spammers on Twitter. It provides an overview of existing techniques for detecting spam profiles and users on Twitter. The document reviews methods that use user-based features like following behavior, content-based features like tweets, and detection algorithms like Bayesian classification and Support Vector Machines. Existing studies that detect spammers using directed graphs, social honeypots, and machine learning are also summarized. The review fin

Author

gest

Language

EN