Computer Science

Zi Chu, Steven Gianvecchio, Haining Wang, S. Jajodia

2012.11.1IEEE Transactions on Dependable and Secure Computing

DOI: 10.1109/tdsc.2012.75

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.