Description

Book Synopsis

Your life online is their product.

In the past, colonialism was a landgrab of natural resources, exploitative labour and private property from countries around the world. It promised to modernise and civilise, but actually sought to control. It stole from native populations and made them sign contracts they didn't understand. It took resources just because they were there.

Colonialism has not disappeared it has taken on a new form.

In the new world order, data is the new oil. Big Tech companies are grabbing our most basic natural resources our data exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. Every time we unthinkingly click Accept' on Terms and Conditions, we allow our most personal information to kept indefinitely, repackaged by big Tech companies to control and exploit us for their own profit.

In this searin

Trade Review
I wish that Data Grab was required reading when I was a graduate student working in the field of AI. Perspectives like these are crucial if we are to break the colonial paradigm that pervades computing disciplines -- Timnit Gebru, founder of the Distributed AI Research Institute
A blistering, vital exposure of the predatory world of data colonialism. In this vivid and passionately written book, Mejias and Couldry urge us to wake up to the invasive and extractive world of today’s Big Tech -- Mike Savage, author of 'Social Class in the 21st Century'
Remarkable... Data Grab helps us understand that the historical and ongoing relations of power have extended to the realm of data, a new raw material of digital capitalism. Mejias and Couldry place us on a path to recognise, resist, and challenge these forces -- Dr Ramesh Srinivasan, Professor at the UCLA Department of Information Studies and Director of UC Digital Cultures Lab
As in their previous work, Mejias and Couldry show how important it is to take the perspective of the colonized, not the colonizer, in explaining how the digital world is governed. Data Grab offers important insights into how we should analyse power and counter-power in terms of data control. I particularly recommend this book for providing examples of local and vocal initiatives across various continents. A true eye-opener -- José van Dijck, Distinguished Professor of Media and Digital Society, Utrecht University
In this essential and original work, Mejias and Couldry lay out a powerful and persuasive analysis of the logical continuity between modern colonialism and the extraction of data by Big Tech and its platforms. Their call to resist data colonialism could not be more urgent or more timely -- Jeremy Gilbert, author of 'Hegemony Now: How Big Tech and Wall Street Won the World' and 'Twenty-First Century Socialism'

Data Grab

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£15.29

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RRP £16.99 – you save £1.70 (10%)

Order before 4pm tomorrow for delivery by Mon 19 Jan 2026.

A Paperback / softback by Ulises A. Mejias, Nick Couldry

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    View other formats and editions of Data Grab by Ulises A. Mejias

    Publisher: Ebury Publishing
    Publication Date: 08/02/2024
    ISBN13: 9780753560211, 978-0753560211
    ISBN10: 0753560216

    Description

    Book Synopsis

    Your life online is their product.

    In the past, colonialism was a landgrab of natural resources, exploitative labour and private property from countries around the world. It promised to modernise and civilise, but actually sought to control. It stole from native populations and made them sign contracts they didn't understand. It took resources just because they were there.

    Colonialism has not disappeared it has taken on a new form.

    In the new world order, data is the new oil. Big Tech companies are grabbing our most basic natural resources our data exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. Every time we unthinkingly click Accept' on Terms and Conditions, we allow our most personal information to kept indefinitely, repackaged by big Tech companies to control and exploit us for their own profit.

    In this searin

    Trade Review
    I wish that Data Grab was required reading when I was a graduate student working in the field of AI. Perspectives like these are crucial if we are to break the colonial paradigm that pervades computing disciplines -- Timnit Gebru, founder of the Distributed AI Research Institute
    A blistering, vital exposure of the predatory world of data colonialism. In this vivid and passionately written book, Mejias and Couldry urge us to wake up to the invasive and extractive world of today’s Big Tech -- Mike Savage, author of 'Social Class in the 21st Century'
    Remarkable... Data Grab helps us understand that the historical and ongoing relations of power have extended to the realm of data, a new raw material of digital capitalism. Mejias and Couldry place us on a path to recognise, resist, and challenge these forces -- Dr Ramesh Srinivasan, Professor at the UCLA Department of Information Studies and Director of UC Digital Cultures Lab
    As in their previous work, Mejias and Couldry show how important it is to take the perspective of the colonized, not the colonizer, in explaining how the digital world is governed. Data Grab offers important insights into how we should analyse power and counter-power in terms of data control. I particularly recommend this book for providing examples of local and vocal initiatives across various continents. A true eye-opener -- José van Dijck, Distinguished Professor of Media and Digital Society, Utrecht University
    In this essential and original work, Mejias and Couldry lay out a powerful and persuasive analysis of the logical continuity between modern colonialism and the extraction of data by Big Tech and its platforms. Their call to resist data colonialism could not be more urgent or more timely -- Jeremy Gilbert, author of 'Hegemony Now: How Big Tech and Wall Street Won the World' and 'Twenty-First Century Socialism'

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