Bit by Bit
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Bit by Bit
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This essential guide to doing social research in this fast-evolving digital age explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations.
An innovative and accessible guide to doing social research in the digital age.
The rapid spread of social media, smartphones, and other digital wonders enables us to collect and process data about human behaviour on a scale never before imaginable, offering entirely new approaches to core questions about social behaviour. Bit by Bit is the key to unlocking these powerful methods. In this authoritative and accessible book, Matthew Salganik explains how the digital revolution is transforming the way social scientists observe behaviour, ask questions, run experiments, and engage in mass collaborations.
Featuring a wealth of real-world examples and invaluable advice on how to tackle the thorniest ethical challenges, Bit by Bit is the essential guide to doing social research in this fast-evolving digital age.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Award-winning: Winner of the 2019 PROSE Award in Textbook / Social Sciences by the Association of American Publishers and the AAPOR Book Award from the American Association for Public Opinion Research, recognising its excellence and impact in social research methodology.
Book Details
INFORMATION
ISBN: 9780691196107
Publisher: Princeton University Press
Format: Paperback / softback
Date Published: 06 August 2019
Country: United States
Imprint: Princeton University Press
Illustration: 79 b/w illus. 28 tables. 2 maps.
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Width: 178.0mm
Height: 229.0mm
Weight: 250g
Pages: 448
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About the Author
Matthew J. Salganik is professor of sociology at Princeton University, where he is also affiliated with the Center for Information Technology Policy and the Center for Statistics and Machine Learning.
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