Relationship between Rhetoric and Terrorist Violence

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Achievement Imagery
Al Bin
automated text coding
Category=GTC
Category=GTU
Category=JPWL
Central Al
coding systems
Computerized Text Analysis Program
Dialectical Complexity
Elaborative Complexity
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
extremist group communication
Hizb Ut Tahrir
integrative complexity
Language
Leadership Trait Analysis
linguistic content analysis
Linguistics
LIWC
LIWC Analysis
LIWC Category
Motive Imagery
Non-terrorist Groups
Nonviolent Rhetoric
Operational Code Analysis
Operational Code Beliefs
political psychology
predicting terrorist group behaviour
radicalisation studies
Rhetoric
System Dynamics Modeling Techniques
Te Ra
Terrorism
Terrorist Groups
Terrorist Style
Terroristic Rhetoric
Van Der Kloot
Warning Indices

Product details

  • ISBN 9781138850699
  • Weight: 140g
  • Dimensions: 174 x 246mm
  • Publication Date: 27 Apr 2015
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Studies have demonstrated that choices in the use of language convey information that goes beyond the content of the words themselves. In many cases, how something is said matters as much as what is said. Using techniques collectively referred to as linguistic content analysis, researchers have studied topics ranging from how to identify if individuals are lying, to whether there are particular characteristics associated with leaders who take their nations to war. This book presents findings from a research effort funded by the U.S. Department of Homeland Security’s Science and Technology Directorate, which examined whether linguistic content analysis can indicate whether groups will engage in terrorist violence. Specifically, this project brought together several researchers who have developed manual and automated coding systems to analyse documents issued by Central al Qa’ida and al Qa’ida in the Arabian Peninsula, and two non-terrorist comparison groups. The intention has been to test whether linguistic content analysis can first, distinguish the language of terrorist groups from that of non-terrorist groups and second, provide indicators of specific terrorist attacks.

This book was originally published as a Special Issue of Dynamics of Asymmetric Conflict.

Allison Smith, Ph.D., is a social scientist at the U.S. Department of Homeland Security’s (DHS) Science and Technology (S&T) Directorate, where she manages social and behavioural science research efforts. The views expressed in this publication may not represent the views or opinions of the Department of Homeland Security.