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Social Issues in Computing provides information pertinent to the social implications of technology. This book presents the highly dynamic interaction between computers and society. Organized into 13 chapters, this book begins with an overview of the problems associated with computers and attempts to indicate some of the viewpoints, assumptions, and biases from which the discussion is undertaken. This text then examines in detail the effects of computers on society ad describes the extent of computer use. Other chapters consider the disparities in computer use between various countries, as well as the degree to which various countries are able to share in the market for computer products and services. This book discusses as well the factors that led to the rapid and widespread adoption of computers. The final chapter deals with the effects of automation, computers, and technology. This book is a valuable resource for computer science students and research workers.
This study, written in the context of its first publication in 1970, discusses and documents the invasion of privacy by the corporation and the social institution in the search for efficiency in information processing. Discussing areas such as the impact of the computer on administration, privacy and the storage on information, the authors assess the technical and social feasibility of constructing integrated data banks to cover the details of populations. The book was hugely influential both in terms of scholarship and legislation, and the years following saw the introduction of the Data Protection Act of 1984, which was then consolidated by the Act of 1998. The topics under discussion remain of great concern to the public in our increasingly web-based world, ensuring the continued relevance of this title to academics and students with an interest in data protection and public privacy.
From the best-selling author of These Truths, an “exhilarating” (New York Times Book Review) account of the Cold War origins of our data-mad era. The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge—decades before Facebook, Amazon, and Cambridge Analytica. Although Silicon Valley likes to imagine that it has no past, the scientists of Simulmatics are almost undoubtedly the long-dead ancestors of Mark Zuckerberg and Elon Musk—or so argues Jill Lepore, distinguished Harvard historian and New Yorker staff writer, in this “hilarious, scathing, and sobering” (David Runciman) account of the origins of predictive analytics and behavioral data science.