Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?

Chu, Zi, Gianvecchio, Steven, Wang, Haining, Jajodia, Sushil·2012·IEEE Transactions on Dependable and Secure Computing
DOI 10.1109/tdsc.2012.75

Cited by (632)

Items 501–600 of 632

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  87. Introduction
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