Dataclysm: who we are (when we think no one's looking)
(Book)
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More Details
Published:
New York : Crown Publishers, [2014].
Format:
Book
Edition:
First edition.
Physical Desc:
300 pages : illustrations (some color) ; 24 cm
Language:
English
ISBN:
9780385347372, 0385347375, 9780385347372 (hardback)
Notes
Bibliography
Includes bibliographical references (pages 249-281) and index.
Description
An irreverent, provocative, and visually fascinating look at what our online lives reveal about who we really are--and how this deluge of data will transform the science of human behavior. Big Data is used to spy on us, hire and fire us, and sell us things we don't need. In Dataclysm, Christian Rudder puts this flood of information to an entirely different use: understanding human nature. Drawing on terabytes of data from Twitter, Facebook, Reddit, OkCupid, and many other sites, Rudder examines the terrain of human experience. He charts the rise and fall of America's most reviled word through Google Search, examines the new dynamics of collaborative rage on Twitter, and traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible. Audacious, entertaining, and illuminating, Dataclysm is a portrait of our essential selves--and a first look at a revolution in the making. --,Provided by publisher.
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Citations
APA Citation (style guide)
Rudder, C. (2014). Dataclysm: who we are (when we think no one's looking). First edition. Crown Publishers.
Chicago / Turabian - Author Date Citation (style guide)Rudder, Christian. 2014. Dataclysm: Who We Are (when We Think No One's Looking). Crown Publishers.
Chicago / Turabian - Humanities Citation (style guide)Rudder, Christian, Dataclysm: Who We Are (when We Think No One's Looking). Crown Publishers, 2014.
MLA Citation (style guide)Rudder, Christian. Dataclysm: Who We Are (when We Think No One's Looking). First edition. Crown Publishers, 2014.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
Staff View
Grouped Work ID:
c444a2f8-3066-29ff-5380-bfbc34487b0e
Record Information
Last Horizon Extract Time | Jul 08, 2025 06:52:27 PM |
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Last File Modification Time | Jul 09, 2025 05:09:43 AM |
Last Grouped Work Modification Time | Jul 09, 2025 05:08:37 AM |
MARC Record
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245 | 1 | 0 | |a Dataclysm : |b who we are (when we think no one's looking) / |c Christian Rudder. |
250 | |a First edition. | ||
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300 | |a 300 pages : |b illustrations (some color) ; |c 24 cm | ||
336 | |a text |b txt |2 rdacontent | ||
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520 | |a An irreverent, provocative, and visually fascinating look at what our online lives reveal about who we really are--and how this deluge of data will transform the science of human behavior. Big Data is used to spy on us, hire and fire us, and sell us things we don't need. In Dataclysm, Christian Rudder puts this flood of information to an entirely different use: understanding human nature. Drawing on terabytes of data from Twitter, Facebook, Reddit, OkCupid, and many other sites, Rudder examines the terrain of human experience. He charts the rise and fall of America's most reviled word through Google Search, examines the new dynamics of collaborative rage on Twitter, and traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible. Audacious, entertaining, and illuminating, Dataclysm is a portrait of our essential selves--and a first look at a revolution in the making. -- |c Provided by publisher. | ||
504 | |a Includes bibliographical references (pages 249-281) and index. | ||
650 | 0 | |a Behavioral assessment | |
650 | 0 | |a Human behavior | |
650 | 0 | |a Social media | |
650 | 0 | |a Big data | |
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