Mejias, Ulises, A. & Couldry, Nick (2024). Data Grab: The New Colonialism of Big Tech (and How to Fight Back). WH Allen
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Abstract
This review highlights Data Grab: The New Colonialism of Big Tech (and How to Fight Back) as an exceptional theoretical intervention that enables a radical rethinking of the digital present. Rather than offering a mere analysis of technologies or the digital economy, the author values its content as a revealing epistemological effort that unlocks new categories of understanding. The extraction of data is thus exposed not as a distortion of progress, but as the continuation of a deeply rooted colonial logic. The review underscores the analytical strength of the concept of “data colonialism”, not as a critical metaphor, but as an analytical category that sheds light on contemporary processes of appropriation, exploitation, and control. The work is praised for its ability to articulate a structural critique alongside emancipatory proposals, distancing itself from moralistic or technocentric perspectives. Furthermore, the review stresses the importance of a reading that goes beyond ethical or regulatory concerns, addressing instead the epistemic and political dimensions of the digital regime. Data Grab is interpreted as an urgent call for the decolonisation of our digital lives— a work that not only interprets the world, but compels us to transform it through a radical political imagination.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Este artículo se distribuye bajo Creative Commons Atribución-NoComercial 4.0 (CC BY-NC 4.0) .
Ana García Arranz, London School of Economics and Political Science
Lecturer at the Department of Communication and Sociology, at the Rey Juan Carlos University (Madrid). She has taken part in several R&D projects under the Spanish National Plan, published articles in peer-reviewed journals, and co-authored book chapters with prestigious academic publishers. Her research has focused on the social representations of different groups in the media, advertising of health-related products, and critical discourse analysis. She is currently developing models that may contribute to enhancing our understanding of the mechanisms shaping social perceptions of risks and adverse events such as side effects, abuse, misuse, or dependence) associated with non-prescription medicines and over-the-counter drugs. Since February 2025, she is a Visiting Fellow at the London School of Economics and Political Science (LSE).