Date of Graduation
5-2021
Document Type
Thesis
Degree Name
Master of Arts in Sociology (MA)
Degree Level
Graduate
Department
Sociology and Criminology
Advisor/Mentor
Gruenewald, Jeffrey A.
Committee Member
Hearne, Brittany N.
Second Committee Member
Harris, Casey T.
Keywords
Extremism; Far-Right; Germany; Murder-Suicide; Terrorism; U.S.
Abstract
Despite increasing empirical research on suicide terrorism since the 9/11 terrorist attacks, prior studies have focused primarily on radical Islamic terrorism in non-Western contexts. As a result, less is known about how murder-suicide attacks committed by other ideological movements unfold, particularly the extreme far-right in North America and Europe. Researchers have begun to theorize the social and psychological processes believed to play a role in the radicalization of suicide terrorists. However, the observable, situational processes shaping radicalized individuals when planning, preparing for, and executing suicide terrorism remain underexplored. Therefore, the purpose of this study is to identify intervention points by comparatively examining American and German extreme far-right murder-suicide attacks using a multi-method storyline analysis approach. Drawing from the criminal events perspective and bounded rationality framework, this study uses data (n=28) from the U.S. Extremist Crime Database (ECDB) and the Database on Terrorism in Germany: Right-Wing Extremism (DTGrwx) to identify the intervention points in planning and preparing for suicide terrorism. The findings from this study have implications for federal, state, and local law enforcement who are responsible for terrorism prevention.
Citation
Lucas, H. (2021). Extreme Far-Right Murder-Suicide Attacks in the U.S. and Germany: A Comparative Storyline Analysis. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/4002
Included in
American Studies Commons, Criminology Commons, Critical and Cultural Studies Commons, Social Control, Law, Crime, and Deviance Commons, Terrorism Studies Commons