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


Gritsenko D. Trochev A. Vehkalahti K.
2025Routledge

Policing and Society
2025#35Issue 101357 - 1376 pp.

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.

Algorithmic policing , authoritarian digitalisation , Kazakhstan , public acceptance

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Center for Social Data Science, University of Helsinki, Helsinki, Finland
School of Sciences and Humanities, Nazarbaev University, Astana, Kazakhstan

Center for Social Data Science
School of Sciences and Humanities

10 лет помогаем публиковать статьи Международный издатель

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