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- Title
"Like aspirin for arthritis": A qualitative study of conditional cyber‐deterrence associated with police crackdowns on the dark web.
- Authors
Décary‐Hétu, David; Faubert, Camille; Chopin, Julien; Malm, Aili; Ratcliffe, Jerry; Dupont, Benoît
- Abstract
Research summary: Crackdowns are law enforcement strategies based on the principles of deterrence theory, which stipulates that offenders are rational actors who will refrain from crime if perceived risks are higher than perceived benefits. Studies have shown that the effects of police street drug crackdowns are mostly short termed and followed by considerable displacement. In the early 2010s, an important part of illicit drug trades moved online to cryptomarkets, and law enforcement agencies have responded by engaging in online drug crackdowns. In this study, we focus on the perceptions of dark web users in order to determine, from a qualitative "data‐driven" perspective, whether police online crackdowns may have a cyber‐deterrent effect by analyzing 1796 forum posts. Our results show that these events trigger psychological and practical consequences that participants claim to have a conditional, although minor, deterrent effect. In the majority of cases, dark web users claimed to engage in several forms of spatial and tactical displacement. Policy implications: Our study suggests that police crackdowns on the dark web have limited, short‐term effectiveness in curbing illicit activities. It proposes that innovative policing approaches such as problem‐oriented policing and "pulling levers/focused deterrence" strategies, which involve identifying key actors and engaging with them, be potentially extended to the dark web. While this approach is promising, it emphasizes the need for further research to assess its efficacy in the online realm, as it is a largely uncharted territory for law enforcement.
- Subjects
POLICE crackdowns; DARKNETS (File sharing); CRYPTOMARKETS; LAW enforcement; PUNISHMENT in crime deterrence
- Publication
Criminology & Public Policy, 2023, Vol 22, Issue 4, p639
- ISSN
1538-6473
- Publication type
Article
- DOI
10.1111/1745-9133.12642