Big Data Is Not A Monolith by Cassidy R. Sugimoto

Big Data Is Not A Monolith

EditorCassidy R. Sugimoto, Hamid R. Ekbia, Michael Mattioli

Paperback | October 21, 2016

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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 individuals 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.

ContributorsRyan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West

About The Author

Cassidy R. Sugimoto is Associate Professor in the School of Informatics and Computing at Indiana University Bloomington and the coeditor of Beyond Bibliometrics (MIT Press). Hamid R. Ekbia is Associate Professor in the Schools of Informatics and Computing, Cognitive Science, and International Studies at Indiana University Bloomington....
Big Data Is Not a Monolith
Big Data Is Not a Monolith

by Cassidy R. Sugimoto

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Title:Big Data Is Not A MonolithFormat:PaperbackDimensions:312 pages, 9 × 7 × 0.62 inPublished:October 21, 2016Publisher:The MIT PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0262529483

ISBN - 13:9780262529488

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Well informed (up to date references), well written, an interesting read. This text is highly recommended, for all readers and practitioners with a serious interest in Big Data Analytics (BDA). Simply excellent!