Big data is not a monolith / edited by Cassidy R. Sugimoto, Hamid R. Ekbia, and Michael Mattioli.
2016
QA76.9.B45 B555 2016eb
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Online Access through The MIT Press Direct
Details
Title
Big data is not a monolith / edited by Cassidy R. Sugimoto, Hamid R. Ekbia, and Michael Mattioli.
ISBN
9780262335751 (electronic bk.)
0262335751 (electronic bk.)
026233576X (electronic bk.)
9780262335768 (electronic bk.)
9780262035057 (hardcover)
0262035057 (hardcover)
9780262529488 (paperback)
0262529483 (paperback)
0262335751 (electronic bk.)
026233576X (electronic bk.)
9780262335768 (electronic bk.)
9780262035057 (hardcover)
0262035057 (hardcover)
9780262529488 (paperback)
0262529483 (paperback)
Published
Cambridge, Massachusetts : The MIT Press, [2016]
Language
English
Description
1 online resource (xxi, 284 pages) : illustrations.
Call Number
QA76.9.B45 B555 2016eb
Dewey Decimal Classification
005.7
Summary
"Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individual as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, "data harm," and decision making."
Access Note
Access limited to authorized users.
Source of Description
OCLC-licensed vendor bibliographic record.
Added Author
Sugimoto, Cassidy R., editor.
Ekbia, H. R. (Hamid Reza), 1955- editor.
Mattioli, Michael, editor.
Ekbia, H. R. (Hamid Reza), 1955- editor.
Mattioli, Michael, editor.
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