"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. Each chapter of respected technology scholars Ulises Mejias and Nick Couldry's compelling book opens with a story of an ordinary person going about their life until they come up against technology taking their data: a migrant trying to reach Europe where drones are patrolling borders, a woman in the Philippines working for a software company that takes screenshots of her monitor, a food delivery driver in a Chinese city racing against an algorithm. All of these people could be us; the story of what tech companies are doing is a global story that is impossible to escape. Mejias and 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, two leading global researchers and founders of the concept of data colonialism reveal how history can help us understand the emerging future--and how we can fight back"--
A compelling argument that the extractive practices of todays tech giants are the continuation of colonialismand a crucial guide to collective resistance.
Large technology companies like Meta, Amazon, and Alphabet have unprecedented access to our daily lives, collecting information when we check our email, count our steps, shop online, and commute to and from work. Current events are concerningboth the changing owners (and names) of billion-dollar tech companies and regulatory concerns about artificial intelligence underscore the sweeping nature of Big Techs surveillance and the influence such companies hold over the people who use their apps and platforms.
As trusted tech experts Ulises A. Mejias and Nick Couldry show in this eye-opening and convincing book, this vast accumulation of data is not the accidental stockpile of a fast-growing industry. Just as nations stole territories for ill-gotten minerals and crops, wealth, and dominance, tech companies steal personal data important to our lives. Its only within the framework of colonialism, Mejias and Couldry argue, that we can comprehend the full scope of this heist.
Like the land grabs of the past, todays data grab converts our data into raw material for the generation of corporate profit against our own interests. Like historical colonialism, todays tech corporations have engineered an extractive form of doing business that builds a new social and economic order, leads to job precarity, and degrades the environment. These methods deepen global inequality, consolidating corporate wealth in the Global North and engineering discriminatory algorithms. Promising convenience, connection, and scientific progress, tech companies enrich themselves by encouraging us to relinquish details about our personal interactions, our taste in movies or music, and even our health and medical records. Do we have any other choice?
Data Grab affirms that we do. To defy this new form of colonialism we will need to learn from previous forms of resistance and work together to imagine entirely new ones. Mejias and Couldry share the stories of voters, workers, activists, and marginalized communities who have successfully opposed unscrupulous tech practices. An incisive discussion of the digital media thats transformed our world, Data Grab is a must-read for anyone concerned about privacy, self-determination, and justice in the internet age.
