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:https://doi.org/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

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

All Science Journal Classification (ASJC) codes

General Computer Science

Access to Document

https://doi.org/10.1109/MC.2016.183

Cite this

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title = "The DARPA Twitter Bot Challenge",

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keywords = "anomaly detection, intrusion detection, malware mitigation, security, social networks",

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AU - Azaria, Amos

AU - Durst, Skylar

AU - Kagan, Vadim

AU - Galstyan, Aram

AU - Lerman, Kristina

AU - Zhu, Linhong

AU - Ferrara, Emilio

AU - Flammini, Alessandro

AU - Menczer, Filippo

PY - 2016/6

Y1 - 2016/6

N2 - 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.

AB - 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.

KW - anomaly detection

KW - intrusion detection

KW - malware mitigation

KW - security

KW - social networks

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DO - https://doi.org/10.1109/MC.2016.183

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JO - Computer

JF - Computer

ER -

The DARPA Twitter Bot Challenge

Abstract

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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