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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Publicado en:Policing & Society Vol. 35; no. 10; pp. 1357 - 1377
Autores principales: Gritsenko, Daria, Trochev, Alexei, Vehkalahti, Kimmo
Formato: Artículo
Publicado: Taylor & Francis Ltd Dec2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2025
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      pub: Taylor & Francis Ltd
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        10.1080/10439463.2025.2489954
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        atl: Public perception of algorithmic policing in a non-democratic context: evidence from Kazakhstan.
      aug:
        au:
          Gritsenko, Daria
          Trochev, Alexei
          Vehkalahti, Kimmo
        affil:
          Center for Social Data Science, University of Helsinki, Helsinki, Finland
          School of Sciences and Humanities, Nazarbaev University, Astana, Kazakhstan
      su:
        Kazakhstan
        Authoritarianism
        Totalitarianism
        Public opinion
        Predictive policing
        Administrative efficiency
        Digital technology
        Reforms
      sug:
        subj:
          Authoritarianism
          Totalitarianism
          Public opinion
          Kazakhstan
          Predictive policing
          Administrative efficiency
          Digital technology
          Reforms
      keyword:
        Algorithmic policing
        authoritarian digitalisation
        public acceptance
        Algorithmic policing
        authoritarian digitalisation
        public acceptance
      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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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