Violent Frames in Action

Antonio Sanfilippo, Liam McGrath, Paul Whitney

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We present a computational approach to radical rhetoric that leverages the co expression of rhetoric and action features in discourse to identify violent intent. The approach combines text mining and machine learning techniques with insights from Frame Analysis and theories that explain the emergence of violence in terms of moral disengagement, the violation of sacred values and social isolation in order to build computational models that identify messages from terrorist sources and estimate their proximity to an attack. We discuss a specific application of this approach to a body of documents from and about radical and terrorist groups in the Middle East and present the results achieved.

Original languageEnglish
Pages (from-to)103-112
Number of pages10
JournalDynamics of Asymmetric Conflict: Pathways toward Terrorism and Genocide
Volume4
Issue number2
DOIs
Publication statusPublished - Jul 2011
Externally publishedYes

Fingerprint

Social Isolation
Middle East
Data Mining
Violence
rhetoric
disengagement
social isolation
violence
discourse
present
learning
Values
Group
Machine Learning

Keywords

  • Content analysis
  • Decision tree modeling
  • Frame analysis
  • Natural language processing
  • Radical rhetoric
  • Violent intent

ASJC Scopus subject areas

  • Political Science and International Relations
  • Sociology and Political Science
  • Cultural Studies
  • Law
  • Social Psychology

Cite this

Violent Frames in Action. / Sanfilippo, Antonio; McGrath, Liam; Whitney, Paul.

In: Dynamics of Asymmetric Conflict: Pathways toward Terrorism and Genocide, Vol. 4, No. 2, 07.2011, p. 103-112.

Research output: Contribution to journalArticle

Sanfilippo, Antonio ; McGrath, Liam ; Whitney, Paul. / Violent Frames in Action. In: Dynamics of Asymmetric Conflict: Pathways toward Terrorism and Genocide. 2011 ; Vol. 4, No. 2. pp. 103-112.
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