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925 0 _aacquire
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955 _brm04 2018-06-26 z-processor
_irm06 2018-07-03 to Dewey
955 _apc16 2017-03-03
010 _a 2017935851
020 _a9780691158648
020 _a0691158649
035 _a(OCoLC)on1012406622
040 _aPUL
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050 0 0 _aH62
_b.S3189 2018
084 _a70.03
_2bcl
100 1 _aSalganik, Matthew J.,
_d1976-
_eauthor.
245 1 0 _aBit by bit :
_bsocial research in the digital age /
_cMatthew J. Salganik.
264 1 _aPrinceton :
_bPrinceton University Press,
_c[2018]
264 4 _c©2018
300 _axix, 423 pages :
_billustrations ;
_c24 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references (pages 367-412) and index.
505 0 _aObserving behavior -- Asking questions -- Running experiments -- Creating mass collaboration -- Ethics -- The future.
520 8 _aAn 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.
650 0 _aSocial sciences
_xResearch
_xMethodology.
650 0 _aSociology
_xStatistical methods.
650 0 _aInformation technology.
650 0 _aSocial media.
650 0 _aEthics.
650 7 _aEthics.
_2fast
_0(OCoLC)fst00915833
650 7 _aInformation technology.
_2fast
_0(OCoLC)fst00973089
650 7 _aSocial media.
_2fast
_0(OCoLC)fst01741098
650 7 _aSocial sciences
_xResearch
_xMethodology.
_2fast
_0(OCoLC)fst01122961
650 7 _aSociology
_xStatistical methods.
_2fast
_0(OCoLC)fst01123920
963 _aKathleen Cioffi; phone: (609) 258-5716; email: kathleen_cioffi@press.princeton.edu; bc: marylynn_mccarthy@press.princeton.edu
999 _c87168
_d87167