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  • 1
    Book
    Book
    Princeton ; Oxford :Princeton University Press,
    UID:
    almafu_BV044520808
    Format: xix, 423 Seiten : , Illustrationen, Diagramme.
    ISBN: 978-0-691-15864-8 , 0691158649
    Note: Literaturverzeichnis: Seite 367-412
    Language: English
    Subjects: Computer Science , Sociology
    RVK:
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    Keywords: Sozialwissenschaften ; Forschungsmethode ; Digitale Daten ; Empirische Sozialforschung ; Big Data ; Social Media ; Digitalisierung ; Datenerhebung ; Digitale Daten
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Princeton : Princeton University Press
    UID:
    gbv_1777318912
    Format: xix, 423 Seiten , Illustrationen, Diagramme
    Edition: First paperback printing
    ISBN: 9780691196107
    Content: 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
    Note: Literaturverzeichnis: Seiten 367-412
    Additional Edition: ISBN 9780691158648
    Language: English
    Subjects: Sociology
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    Keywords: Empirische Sozialforschung ; Big Data ; Social Media ; Empirische Sozialforschung ; Big Data ; Social Media ; Digitalisierung ; Datenerhebung ; Digitale Daten
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    New Jersey : Princeton University Press
    UID:
    kobvindex_GFZ896058255
    Format: XIX, 423 Seiten , Illustrationen, Diagramme
    ISBN: 0691158649 , 9780691158648
    Content: 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. 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. - Illustrates important ideas with examples of outstanding research - Combines ideas from social science and data science in an accessible style and without jargon - Goes beyond the analysis of “found” data to discuss the collection of “designed” data such as surveys, experiments, and mass collaboration - Features an entire chapter on ethics - Includes extensive suggestions for further reading and activities for the classroom or self-study
    Note: Contents: 1. Introduction ; 2. Observing Behavior ; 3 Asking Questions ; 4. Running Experiments ; 5. Creating Mass Collaboration ; 6. Ethics ; 7. The Future
    Language: English
    Subjects: Sociology
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  • 4
    Online Resource
    Online Resource
    Princeton ; Oxford :Princeton University Press,
    UID:
    almahu_BV045558501
    Format: 1 Online-Ressource : , Illustrationen, Diagramme.
    Edition: Open review edition
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 0691158649
    Language: English
    Subjects: Computer Science , Sociology
    RVK:
    RVK:
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    Keywords: Sozialwissenschaften ; Forschungsmethode ; Digitale Daten ; Empirische Sozialforschung ; Big Data ; Social Media ; Digitalisierung ; Datenerhebung ; Digitale Daten
    URL: Volltext  (URL des Erstveröffentlichers)
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