City Research Online

Items where Author is "Lee, M."

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Number of items: 8.

Article

Taylor, E. ORCID: 0000-0003-2664-2194 and Lee, M. (2019). Off the record?: Arrestee concerns about the manipulation, modification, and misrepresentation of police body-worn camera footage. Surveillance and Society, 17(3-4), pp. 474-483. doi: 10.24908/ss.v17i3/4.6550

Clare, J., Henstock, D., McComb, C., Newland, R., Barnes, G., Lee, M. and Taylor, E. ORCID: 0000-0003-2664-2194 (2019). Police, public, and offender perceptions of body-worn video: a single jurisdictional multiple-perspective analysis. Criminal Justice Review,

Taylor, E. ORCID: 0000-0003-2664-2194 and Lee, M. (2019). Points of View: Arrestees’ Perspectives on Police Body-Worn Cameras and their Perceived Impact on Police–Citizen Interactions. The British Journal of Criminology, doi: 10.1093/bjc/azz007

Lee, M., Taylor, E. ORCID: 0000-0003-2664-2194 and Willis, M. (2018). Being held to account: Detainees’ perceptions of police body-worn cameras. Australian and New Zealand Journal of Criminology, doi: 10.1177/0004865818781913

Taylor, E., Lee, M., Willis, M. and Gannoni, A. (2017). Police detainee perspectives on police body-worn cameras. Trends and Issues in Crime and Criminal Justice, 537..

Book Section

Taylor, E. ORCID: 0000-0003-2664-2194 (2018). ‘Curating Risk, Selling Safety? Fear of Crime, Responsibilisation and the Surveillance School Economy’. In: Lee, M. and Mythen, G. (Eds.), The Routledge International Handbook on Fear of Crime. (pp. 312-321). Abingdon, UK: Routledge. ISBN 9781138120334

Report

Gannoni, A., Willis, M., Taylor, E. ORCID: 0000-0003-2664-2194 and Lee, M. (2017). Surveillance technologies and crime control: understanding police detainees’ perspectives on police body-worn video (BWV) and CCTV cameras (CRG 31/14-15). Australia: Criminology Research Advisory Council.

Working Paper

Rajchl, M., Lee, M., Schrans, F., Davidson, A., Passerat-Palmbach, J., Tarroni, G. ORCID: 0000-0002-0341-6138, Alansary, A., Oktay, O., Kainz, B. and Rueckert, D. (2020). Learning under Distributed Weak Supervision. .

This list was generated on Sun May 24 04:55:28 2020 UTC.