Portal de Periódicos da CAPES

Big Data et quantification de soi : La gouvernementalité algorithmique dans le monde numériquement administré

2015; Jilin Academy of Agricultural Sciences; Volume: 40; Issue: 4 Linguagem: Inglês

10.22230/cjc.2015v40n4a2869

1499-6642

Maxime Ouellet, Marc Ménard, Maude Bonenfant, André Mondoux,

Philosophical and Theoretical Analysis

This article aims to discuss, from a critical theory perspective, the apparent paradox between the ability to monitor and control made possible by Big Data and the belief in the latter’s emancipatory potential. The goal is to assess to what extent the data, tools and methods characteristic of Big Data constitute self-regulation processes that are similar to a dynamics of governance and surveillance. We will analyze this phenomenon on the basis of two concepts inherited from the critical tradition in social science, namely that of the administered world as formulated by the Frankfurt School theorists, and that of governmentality as developed by Michel Foucault.