Cultures of Violence and Acts of Terror: Applying a Legitimation–Habituation Model to Terrorism
Although uniquely positioned to provide insight into the nature and dynamics of terrorism, overall the field of criminology has seen few empirically focused analyses of this form of political violence. This article seeks to add to the understanding of terror through an exploration of how general lev...
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Veröffentlicht in: | Crime and delinquency 2012-01, Vol.58 (1), p.28-56 |
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description | Although uniquely positioned to provide insight into the nature and dynamics of terrorism, overall the field of criminology has seen few empirically focused analyses of this form of political violence. This article seeks to add to the understanding of terror through an exploration of how general levels of violence within a given society influence the probability of political dissidents within that society resorting to terror as a form of political action. Drawing on the legitimation–habituation thesis, the authors explore whether general levels of legitimate and illegitimate violence within a society predict terrorist violence (both internal and external in direction) within that society. To do so, the authors use zero-inflated negative binomial regression models to perform time series cross-sectional analysis on predictors of terrorist events from the Global Terrorism Database. The authors find support for their core hypothesis and provide a discussion of the implications for the findings within their data and for future criminological research on terrorism. |
doi_str_mv | 10.1177/0011128710364807 |
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This article seeks to add to the understanding of terror through an exploration of how general levels of violence within a given society influence the probability of political dissidents within that society resorting to terror as a form of political action. Drawing on the legitimation–habituation thesis, the authors explore whether general levels of legitimate and illegitimate violence within a society predict terrorist violence (both internal and external in direction) within that society. To do so, the authors use zero-inflated negative binomial regression models to perform time series cross-sectional analysis on predictors of terrorist events from the Global Terrorism Database. 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subjects | Case Studies Crime Criminology Cross-sectional analysis Culture Democracy Economic Development Habits Habituation Homicide Law Enforcement Legitimation Political Action Political dissent Political Influences Political Systems Political Violence Prediction Probability Regression (Statistics) Regression analysis Statistical Data Terror Terrorism Violence War |
title | Cultures of Violence and Acts of Terror: Applying a Legitimation–Habituation Model to Terrorism |
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