Bit by bit : social research in the digital age / Matthew J. Salganik.

Author
Salganik, Matthew J., 1976- [Browse]
Format
Book
Language
English
Published/​Created
  • Princeton, New Jersey : Princeton University Press., [2018]
  • ©2018
Description
xix, 423 pages : illustrations ; 24 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Firestone Library - Faculty Publications H62 .S243 2018 Browse related items Request
    Stokes Library - Wallace Hall (SPIA) H62 .S243 2018 Browse related items Request
      Stokes Library - Wallace Hall (SPIA) H62 .S243 2018 Browse related items Request
        Stokes Library - Wallace Hall (SPR) H62 .S243 2018 Browse related items Request

          Details

          Subject(s)
          Homosaurus term(s)
          Summary note
          An innovative and accessible guide to doing social research in the digital age. In just the past several years, we have witnessed the birth and rapid spread of social media, mobile phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods-a landmark book that will fundamentally change how the next generation of social scientists and data scientists explores the world around us. Bit by Bit is the essential guide to mastering the key principles of doing social research in this fast-evolving digital age. In this comprehensive yet accessible book, Matthew Salganik explains how the digital revolution is transforming how social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. He provides a wealth of real-world examples throughout, and also lays out a principles-based approach to handling ethical challenges in the era of social media. Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow's technologies.
          Bibliographic references
          Includes bibliographical references (pages 367-412) and index.
          Contents
          • Observing behavior
          • Asking questions
          • Running experiments
          • Creating mass collaboration
          • Ethics
          • The future.
          ISBN
          • 9780691158648 ((hardback))
          • 0691158649
          • 9780691196107 ((paperback))
          • 0691196109
          LCCN
          2017935851
          OCLC
          1012406622
          Statement on language in description
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