The book argues that the extraction and exploitation of personal data by Big Tech companies is a form of modern colonialism, where data is treated as a resource to be extracted for profit and social control, mirroring historical colonial practices.
Companies collect a vast array of personal data, including emails, online shopping habits, location data, health information, and even data from smart devices like cars, which track driving habits and other activities.
The gig economy operates on data territories, where platforms like Uber and Lyft exploit workers by algorithmically reducing wages and increasing prices for users, while maintaining absolute control over the labor process through surveillance and data collection.
The four X's—explore, expand, exploit, and exterminate—originate from a strategy game but reflect historical colonial practices. In data colonialism, these stages translate to exploring and expanding data territories, exploiting data for profit, and erasing previous ways of living through technological control.
Data territory refers to the spaces created by platforms and software that capture and control data, giving the owners of these territories absolute power over the data and the activities conducted within them, much like colonial land ownership.
AI, such as ChatGPT, is redefining knowledge and expertise in education, often without consulting educators or students. It imposes a new standard of learning that erases previous methods and replaces them with algorithmic assessments, leading to a loss of critical thinking and knowledge retention.
Early warning signs include the environmental costs of data centers, the biases built into AI systems, and the exploitation of low-wage workers in the global south who train AI algorithms, often without their consent or fair compensation.
The data colonial class includes big tech companies like Google and Facebook, data brokers, manufacturers of smart devices, and individuals like Elon Musk and Ton Tatt, who exploit data for profit and control, often in ways that align with colonial practices.
Resistance involves imagining a different future, working within the system to push for regulations, working against the system through protests and activism, and working beyond the system to create alternative models that decolonize data and reclaim control over personal information.
They are continuing their work on AI, social media, and education, focusing on decolonizing data and building networks for resistance, such as Tierra Común, a trilingual platform for activists in Latin America and beyond.
In the present day, Big Tech is extracting resources from us, transferring and centralizing resources from people to companies. These companies are grabbing our most basic natural resources--our data--exploiting our labor and connections, and repackaging our information to control our views, track our movements, record our conversations, and discriminate against us. These companies tell us this is for our own good, to build innovation and develop new technology. But in fact, every time we unthinkingly click "Accept" on a set of Terms and Conditions, we allow our most personal information to be kept indefinitely, repackaged by companies to control and exploit us for their own profit.
In Data Grab: The New Colonialism of Big Tech and How to Fight Back) (The University of Chicago Press, 2024), Ulises Mejias and Nick Couldry explain why postindustrial capitalism cannot be understood without colonialism, and why race is a critical factor in who benefits from data colonialism, just as it was for historic colonialism. In this searing, cutting-edge guide, Mejias and Couldry explore the concept of data colonialism, revealing how history can help us understand the emerging future--and how we can fight back.
Mention in this episode: Tierra Comun) (English Version)
Ulises A. Mejias is professor of communication studies at the State University of New York at Oswego.
Nick Couldry is professor of media, communications, and social theory at the London School of Economics and Political Science and faculty associate at Harvard University’s Berkman Klein Center for Internet and Society.
Dr. Michael LaMagna is the Information Literacy Program & Library Services Coordinator and Professor of Library Services at Delaware County Community College.
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