Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Is it time to move on from ‘Mr Big’? Scenario evidence and the risk of unreliable confessions in Australia

Bibliographic Data

ID12353713
AuthorsLisanne Adam (0000-0003-2879-1898, RMIT University, corresponding author), Celine Van Golde (0000-0002-1950-4722, The University of Sydney)
Year2024
Volume49
Issue2
Pages134-141
Publication date2024-04-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAlternative Law Journal (JOURNAL)
Journal identifiersISSN: 1037-969X • E-ISSN: 2398-9084
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1037969x241250053
OpenAlexW4395073878
LanguageEN

The ‘Mr Big’ method is a non-custodial investigative method used by police forces worldwide. A Mr Big operation involves an undercover operation in which a person suspected of involvement in an indictable offence, is unknowingly drawn into a fictitious criminal enterprise, in order to elicit a confession. There are ample concerns around the use of this method. Consequently, courts around the world have grappled with the admissibility of the confession evidence gathered through this approach. This article will first provide an outline of the Mr Big method. Following this, it will discuss the psychological explanation of associated potential coerced confessions which are unreliable. Additionally, various Australian cases and court rulings on confessions obtained using this approach will be described. This information will then be used, given the concerns indicated by psychological research and foreign court responses, in an attempt to address the question of whether the Mr Big method should have a place within the Australian legal system

Business · Confession (law · Criminology · Order (exchange · Political science · Project commissioning · Publishing · Deception detection and forensic psychology · Law · Policing Practices and Perceptions · Psychology · Stalking, Cyberstalking, and Harassment

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae