Computer Science
Zi Chu, Steven Gianvecchio, Haining Wang, S. Jajodia
2012.11.1IEEE Transactions on Dependable and Secure Computing
tlooto Summary
This paper conducts a set of large-scale measurements with a collection of over 500,000 accounts and proposes a classification system that uses the combination of features extracted from an unknown user to determine the likelihood of being a human, bot, or cyborg on Twitter.
Abstract
Abstract is not available.
Citation format
CHU, Zi, et al. Detecting automation of twitter accounts: Are you a human, bot, or cyborg? IEEE Transactions on Dependable and Secure Computing, 2012, 9: 811–824.