The DARPA Twitter Bot Challenge

V. S. Subrahmanian; Amos Azaria; Skylar Durst; Vadim Kagan; Aram Galstyan; Kristina Lerman; Linhong Zhu; Emilio Ferrara; Alessandro Flammini; Filippo Menczer

doi:10.1109/MC.2016.183

The DARPA Twitter Bot Challenge

V. S. Subrahmanian
, Amos Azaria
, Skylar Durst
, Vadim Kagan
, Aram Galstyan
, Kristina Lerman
, Linhong Zhu
, Emilio Ferrara
, Alessandro Flammini
, Filippo Menczer

Research output: Contribution to specialist publication › Article

319 Scopus citations

Abstract

From politicians and nation states to terrorist groups, numerous organizations reportedly conduct explicit campaigns to influence opinions on social media, posing a risk to freedom of expression. Thus, there is a need to identify and eliminate 'influence bots'-realistic, automated identities that illicitly shape discussions on sites like Twitter and Facebook-before they get too influential.

Original language	English
Pages	38-46
Number of pages	9
Volume	49
No	6
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2016.183
State	Published - Jun 2016
Externally published	Yes

Keywords

anomaly detection
intrusion detection
malware mitigation
security
social networks

Access to Document

10.1109/MC.2016.183

Cite this

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AU - Lerman, Kristina

AU - Zhu, Linhong

AU - Ferrara, Emilio

AU - Flammini, Alessandro

AU - Menczer, Filippo

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The DARPA Twitter Bot Challenge

Abstract

Keywords

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