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The Feel of Algorithms.

De Gruyter University of California Press Complete eBook-Package 2023 Available online

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EBSCOhost eBook Community College Collection Available online

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Ebscohost Ebooks University Press Collection (North America) Available online

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Format:
Book
Author/Creator:
Ruckenstein, Minna.
Language:
English
Subjects (All):
Algorithms--Social aspects.
Algorithms.
Physical Description:
1 online resource (241 pages)
Edition:
1st ed.
Place of Publication:
Berkeley : University of California Press, 2023.
Summary:
Why do we feel excited, afraid, and frustrated by algorithms? The Feel of Algorithms brings relatable first-person accounts of what it means to experience algorithms emotionally alongside interdisciplinary social science research, to reveal how political and economic processes are felt in the everyday. People's algorithm stories might fail to separate fact and misconception, and circulate wishful, erroneous, or fearful views of digital technologies. Yet rather than treating algorithmic folklore as evidence of ignorance, this novel book explains why personal anecdotes are an important source of algorithmic knowledge. Minna Ruckenstein argues that we get to know algorithms by feeling their actions and telling stories about them. The Feel of Algorithms shows how taking everyday algorithmic emotions seriously balances the current discussion, which has a tendency to draw conclusions based on celebratory or oppositional responses to imagined future effects. An everyday focus zooms into experiences of pleasure, fear, and irritation, highlighting how political aims and ethical tensions play out in visions, practices, and emotional responses. This book shows that feelings aid in recognizing troubling practices, and also calls for alternatives that are currently ignored or suppressed.
Contents:
Cover
Title Page
Copyright
Contents
Preface
Acknowledgments
Introduction
1. Structures of Feeling in Algorithmic Culture
2. Coevolving with Algorithms
3. The Digital Geography of Fear
4. Friction in Algorithmic Relations
5. Care for Algorithmic Futures
Ways Forward
References
Index
Series.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9780520394568
0520394569
OCLC:
1374430324

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