| Literature DB >> 24313297 |
Paul Gill1, John Horgan, Paige Deckert.
Abstract
This article analyzes the sociodemographic network characteristics and antecedent behaviors of 119 lone-actor terrorists. This marks a departure from existing analyses by largely focusing upon behavioral aspects of each offender. This article also examines whether lone-actor terrorists differ based on their ideologies or network connectivity. The analysis leads to seven conclusions. There was no uniform profile identified. In the time leading up to most lone-actor terrorist events, other people generally knew about the offender's grievance, extremist ideology, views, and/or intent to engage in violence. A wide range of activities and experiences preceded lone actors' plots or events. Many but not all lone-actor terrorists were socially isolated. Lone-actor terrorists regularly engaged in a detectable and observable range of activities with a wider pressure group, social movement, or terrorist organization. Lone-actor terrorist events were rarely sudden and impulsive. There were distinguishable behavioral differences between subgroups. The implications for policy conclude this article.Entities:
Keywords: forensic science; lone-actor terrorism; lone-wolf terrorism; motivation; terrorism; terrorist behavior; typology
Mesh:
Year: 2013 PMID: 24313297 PMCID: PMC4217375 DOI: 10.1111/1556-4029.12312
Source DB: PubMed Journal: J Forensic Sci ISSN: 0022-1198 Impact factor: 1.832
Figure 1Age when committing first terrorism-related offense that resulted in conviction.
Figure 2Highest educational achievement.
Figure 3Comparative occupational category breakdown.
Figure 4Lone-actor ideological orientation.
Comparing lone actors across ideological domains.
| Right Wing ( | Single Issue ( | Al-Qaeda Related ( | |
|---|---|---|---|
| Town size <20,000 | 37.5% | 28.6% | 9.6% |
| University experience | 15% | 52.4% | 50% |
| Worked in construction | 12.5% | 0% | 0% |
| Worked as a professional | 2.5% | 14.3% | 11.5% |
| Student at time of event | 2.5% | 4.8% | 17.3% |
| Unemployed | 50% | 38.1% | 30.8% |
| Verbal statements to friends/family about intent or beliefs | 52.5% | 71.4% | 71.2% |
| Religious convert | 2.5% | 19% | 36.5% |
| Sought legitimization | 7.5% | 9.5% | 28.8% |
| Lived away from home when ideology adopted | 15% | 19% | 38.5% |
| Others helped procure weaponry | 10% | 33.3% | 32.7% |
| Engaged in dry runs | 17.5% | 47.6% | 30.8% |
| Recently joined a wider group/movement | 47.5% | 38.1% | 23.1% |
| Evidence of command and control links | 5% | 4.8% | 30.8% |
| Based in the United States | 52.5% | 71.4% | 28.8% |
| In a relationship | 20% | 52.4% | 21.2% |
| Previous criminal conviction | 50% | 61.9% | 26.9% |
| Previously imprisoned | 27.5% | 47.6% | 19.2% |
| Provided a pre-event warning | 17.5% | 38.1% | 21.2% |
| Spouse/partner part of a wider movement | 5% | 19% | 3.8% |
| Learned through virtual sources | 37.5% | 19% | 65.4% |
| History of mental illness | 30% | 52.4% | 25% |
| Others aware of individual’s planning | 52.5% | 38.1% | 69.2% |
| Children | 15% | 42.9% | 28.8% |
| University degree | 5% | 4.8% | 17.3% |
| Average age | 36.3 years | 36.8 years | 26.7 years |
| Successful execution of terrorist attack | 57.5% | 66.7% | 40.4% |
*p < 0.1; **p < 0.05; ***p < 0.01.
Comparing lone actors by network connectivity.
| Individuals Without Command and Control Links (n = 87) (%) | Individuals With Command and Control Links (n = 21) (%) | Isolated Dyads (n = 11) (%) | |
|---|---|---|---|
| Based in the United States | 55.2 | 4.8 | 36.4 |
| Previous military experience | 31 | 4.8 | 9.1 |
| Previous criminal conviction | 47.1 | 19 | 36.4 |
| Held a PhD | 2.3 | 0 | 18.2 |
| Lived alone | 40.2 | 38.1 | 9.1 |
| Lived away from home when ideology adopted | 23 | 42.9 | 27.3 |
| Received training | 20.7 | 33.3 | 0 |
| Learnt through virtual sources | 40.2 | 66.7 | 72.7 |
| History of mental illness | 35.6 | 19 | 9.1 |
| Socially isolated | 57.5 | 33.3 | 45.5 |
| Recently joined a wider group/movement | 27.6 | 47.6 | 45.5 |
| Noticeable increase in religiosity | 23 | 61.9 | 27.3 |
| Family/close associates involved in political violence/crime | 27.6 | 57.1 | 63.6 |
| Interacted face-to-face with wider network | 39.1 | 61.9 | 90.3 |
| Interacted virtually with wider network | 28.7 | 57.1 | 63.6 |
| Others helped procure weaponry | 17.2 | 38.1 | 45.5 |
| Others helped build IED | 6.9 | 33.3 | 27.3 |
| Others aware of individual’s planning | 42.5 | 100 | 100 |
| Attempted to recruit others | 27.6 | 33.3 | 81.8 |
| Consumed propaganda from a wider movement | 65.5 | 85.7 | 72.7 |
| Al-Qaeda related | 33.3 | 76.2 | 63.6 |
| Single issue | 23 | 4.8 | 0 |
| Right wing | 39.1 | 9.5 | 36.4 |
| Successfully executed an attack | 57.5 | 33.3 | 27.3 |
*p < 0.1; **p < 0.05; ***p < 0.01.
Comparing successful lone actors to intercepted lone actors.
| Did the Individual Successfully Commit an Attack? | Yes (n = 61) (%) | No (n = 58) (%) |
|---|---|---|
| University experience | 54.1 | 24.1 |
| Socially isolated | 70.5 | 34.5 |
| History of mental illness | 39.3 | 24.1 |
| Previously rejected from wider group | 16.4 | 3.4 |
| Other’s aware of research/planning or preparation for event | 36.1 | 79.3 |
| Attempted to recruit others | 24.6 | 44.8 |
| Learnt through virtual sources | 29.5 | 63.8 |
| Bomb-making Manuals in home | 31.1 | 70.7 |
| Recently exposed to new media | 19.7 | 41.4 |
| Interacted virtually with wider network | 24.6 | 46.6 |
| Read or consumed literature/propaganda from a wider movement | 52.5 | 84.5 |
| Read or consumed literature/propaganda about other lone actors | 11.5 | 43.1 |
| Read or consumed literature/propaganda of other lone Actors | 8.2 | 22.4 |
*p < 0.1; **p < 0.05; ***p < 0.01.