Columbia University Press
Algorithmic Culture Before the Internet
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Reviews
This book takes readers to unexpected places, making brilliant and original connections across vast bodies of knowledge. It is sure to enhance the historical understanding of anyone interested in computers, social media, and the culture of the late twentieth and early twenty-first centuries.
Nick Seaver, author of Computing Taste: Algorithms and the Makers of Music Recommendation:
This prehistory of algorithmic culture steps back from the relentless novelty of much writing about computing, helping us realize that algorithms, culture, and the relationship between them are stranger and older than we might have thought.
Tarleton Gillespie, author of Custodians of the Internet: Platforms, Content Moderation and the Hidden Decisions That Shape Social Media:
Masterful and fascinating. Each chapter, grappling with a keyword and uncovering its fraught construction, took me somewhere I didn’t expect to go. This is the book we need to advance the study of algorithms as part of the history of culture.
Anne Balsamo, author of Designing Culture: The Technological Imagination at Work:
Ted Striphas writes engagingly about the history of the entanglement of the concepts of “culture” and “algorithm” by rethinking the cultural work of the humble keyword. This is the book—and the histories—we need to help us understand what is at stake in the prevailing articulation of culture, technology, and power.
Charles R. Acland, author of American Blockbuster: Movies, Technology, and Wonder:
Algorithmic Culture Before the Internet tackles a too-often neglected aspect of our computer world: the cultural dimensions of algorithmic certainty. Ted Striphas shifts our critical gaze away from the supposed historically and technologically unique features of digital mechanisms to construct a sweeping tale of terminology, logic, and instrumentality. He has written an essential study that is by equal measure surprising, convincing, and engaging.
Topics
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Frontmatter
i -
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CONTENTS
vii -
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Acknowledgments
ix -
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Introduction: Welcome to the Machine
1 -
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1 Key- Words
35 -
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2 Algorithm
67 -
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3 Culture
117 -
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4 Algorithmic Culture
169 -
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Epilogue: Coming to Terms
225 -
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Notes
247 -
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Index
319