RT Article
T1 Public perception of algorithmic policing in a non-democratic context: evidence from Kazakhstan
JF Policing and society
VO 35
IS 10
SP 1357
OP 1376
A1 Gritsenko, Daria
A1 Trochev, Alexei 1972-
A1 Vehkalahti, Kimmo
A2 Trochev, Alexei 1972-
A2 Vehkalahti, Kimmo
LA English
YR 2025
UL https://krimdok.uni-tuebingen.de/Record/1942058020
AB 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.
K1 Kazakhstan
K1 authoritarian digitalisation
K1 public acceptance
K1 Algorithmic policing
DO 10.1080/10439463.2025.2489954