Mock terrorists decisions’ concerning use of the internet for target selection: a red-team approach
In this study we sought to identify which locations appear more, or less, attractive to a terrorist in planning an attack and to investigate what attributes of those locations influence preferences. A sample of undergraduate university students (N = 147) were given the role of terrorists, and provid...
| Authors: | ; |
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| Format: | Electronic Article |
| Language: | English |
| Published: |
2018
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| In: |
Psychology, crime & law
Year: 2018, Volume: 24, Issue: 6, Pages: 589-602 |
| Online Access: |
Volltext (Resolving-System) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
| Summary: | In this study we sought to identify which locations appear more, or less, attractive to a terrorist in planning an attack and to investigate what attributes of those locations influence preferences. A sample of undergraduate university students (N = 147) were given the role of terrorists, and provided with five potential attack locations, including a pedestrian mall, a shopping center, a train station, a university and an airport. After using the Internet to learn about the target locations, participants placed the locations in rank-order from most to least preferred as targets and indicated why they had selected those targets. Results showed both a clear rank-order of target preferences: locations perceived as being more crowded were more preferred, while locations with a greater security presence were less preferred. Results also demonstrated a moderate positive correlation between the amount of online information viewed for a specific location and the preference for that location as a terrorist target, where participants who viewed more online content for a particular location were more likely to also prefer that location as a terrorist target. Findings from this study can potentially be used to reduce the likelihood of a terrorist attack occurring on specific locations, by altering the publicly available information on that location regarding the security and how crowded that location is. |
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| ISSN: | 1477-2744 |
| DOI: | 10.1080/1068316X.2017.1396332 |