Among the (Many) Meanings of Big Data: History, Surveillance, Control, and Criminalisation
DOI:
https://doi.org/10.21814/rlec.6294Keywords:
surveillance, big data, police, security, historyAbstract
This article critically analyses surveillance in the era of big data, exploring the multiple meanings attributed to it over time and tracing its historical evolution. Drawing on surveillance studies, it examines how surveillance practices have been shaped by socio-technical and security dynamics — ranging from early efforts focused on population management and policing to the consolidation of algorithmic infrastructures grounded in mass datafication. Rather than representing a definitive rupture, big data is shown to reconfigure and expand historical mechanisms of control, fostering a convergence between mass and targeted surveillance. The analysis demonstrates how monitoring technologies are embedded in techno-optimistic narratives that legitimise their proliferation while simultaneously reinforcing the collectivisation of suspicion and reorienting criminal investigation towards predictive and statistical models. Through a brief examination of the Portuguese context, the article discusses how the adoption of such technologies reflects a political aspiration for security modernisation, framed by discourses that portray technology as an inevitable response to crime. It concludes that algorithmic surveillance not only restructures policing and criminal justice but also raises profound ethical and political concerns. The increasing opacity of automated decision-making and its naturalisation within security discourse underscores the need for critical scrutiny to ensure that technological efficiency does not become an unquestioned principle of governance — at the expense of fundamental rights and the reproduction of structural inequalities.
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