|
|
|
Sort Order |
|
|
|
Items / Page
|
|
|
|
|
|
|
| Srl | Item |
| 1 |
ID:
169918
|
|
|
|
|
| Summary/Abstract |
This study explores differences in perpetrators of suicide attacks and non-suicide attacks in the United States. The study uses data on far-right and Al Qaeda and affiliated/inspired terrorists between 1990 and 2013 from the United States Extremist Crime Database. Our analysis estimates logistic regression models to test whether suicide attackers were more likely to have exhibited specific risk factors for suicidality, while examining other prominent claims regarding patterns of suicide terrorism. Suicide attackers were no more likely than non-suicide attackers to have previously attempted suicide or to have been diagnosed as mentally ill. Suicide attackers were more likely, though, to have a history of substance abuse, to be loners, have served in the military, participated in paramilitary training, and be more ideologically committed to the cause. We found that Al Qaeda affiliated/inspired attackers were more likely than far-right attackers to have engaged in a suicide mission. With the current focus on Americans traveling to Syria and Iraq to receive training and fight for jihadist movements (e.g., the Islamic State), our findings appear relevant. Observers have expressed concern that these fighters may return and then commit attacks in their homeland. Law enforcement could make use of this study’s findings.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
138780
|
|
|
|
|
| Summary/Abstract |
This study examines whether Criminology's Routine Activities Theory (RAT) and related Lifestyle Theory (LST) can account for variation between the attributes of victims of fatal ideologically motivated attacks (akin to terrorism) and the victims of non-ideologically motivated homicide incidents committed by far-Right extremists in the United States. This article makes four contributions. First, we empirically test Criminology theory in the context of terrorism by using routine activities to devise four core hypotheses to explain differences between the two types of victims. Second, our investigation uniquely includes a non-terrorist comparison group (i.e., victims of homicides committed by extremists for personal reasons like greed). Third, our study focuses on ideological victimization. Terrorism researchers have usually ignored victims because of the difficulty in accessing the necessary data. Finally, we also make a methodological contribution by showing that criminology can build upon the terrorism literature by utilizing open-sources. Using data from the Extremist Crime Database (ECDB), the results of a multivariate analysis partially supported the hypotheses, showing that RAT and LST offer empirically supported theoretical constructs that have the ability to differentiate between ideological and non-ideological homicides.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
ID:
144894
|
|
|
|
|
| Summary/Abstract |
This study identifies the most efficient methodology for sampling from a population of New York Times articles related to terrorism, which were generated through keyword searching. Efficiency was based on which sample statistic was closest to the population parameters of interest. The smallest sample size, where 68 percent of the sample statistics were within one standard deviation of the population mean and 95 percent of the sample statistics were within two standard deviations of the population mean, were identified as the most efficient. In addition, we determine whether the frequency of news articles is correlated to the temporal distribution of terrorist incidents found in the Global Terrorism Database, which could possibly be utilized to more efficiently sample from the population. Our findings confirm prior research that shows that sampling efficiency is related to the weekly news cycle and, contrary to prior research, the sample must include between 20 to 29 constructed weeks to achieve representativeness of an entire year of coverage for a population generated through keyword searches. In addition, the study also found that there was a limited relationship between the frequency of terrorist incidents and the amount of terrorism coverage in the news.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|