Discovering social spammers from multiple views

Abstract

Online social networks have become popular platforms for spammers to spread malicious content and links. Existing state-of-the-art optimization methods mainly use one kind of user-generated information (i.e., single view) to learn a classification model for identifying spammers. Due to the diversity and variability of spammers' strategies, spammers… (More)
DOI: 10.1016/j.neucom.2016.11.013

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