Public perception of algorithmic policing in a non-democratic context: evidence from Kazakhstan

Governments around the world use advanced computer algorithms and data-driven systems to enhance their law enforcement systems. Research on public attitudes towards the use of such algorithmic policing in non-democratic countries remains scarce. Our study addresses this gap by exploring attitudinal...

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Bibliographic Details
Authors: Gritsenko, Daria (Author) ; Trochev, Alexei 1972- (Author) ; Vehkalahti, Kimmo (Author)
Format: Electronic Article
Language:English
Published: 2025
In: Policing and society
Year: 2025, Volume: 35, Issue: 10, Pages: 1357-1376
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway
Keywords:
Kazakhstan
authoritarian digitalisation
public acceptance
Algorithmic policing
Description
Summary:Governments around the world use advanced computer algorithms and data-driven systems to enhance their law enforcement systems. Research on public attitudes towards the use of such algorithmic policing in non-democratic countries remains scarce. Our study addresses this gap by exploring attitudinal factors influencing the acceptance of algorithmic policing in a non-democratic regime with a novel dataset from a survey conducted in Kazakhstan in May 2023 (N = 1748). Our findings contribute to the literature on algorithmic policing and authoritarian digitalisation, demonstrating how algorithmic tools become a part of the ‘authoritarian bargain’ to deliver governance efficiency without political reforms.
ISSN:1477-2728
DOI:10.1080/10439463.2025.2489954