Matthew Salganik: Bit by Bit | Taschenbuch

Cover: 9780691196107 | Bit by Bit | Social Research in the Digital Age | Matthew Salganik

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Beschreibung

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 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. In this authoritative and accessible book, Matthew Salganik explains how the digital revolution is transforming the way social scientists observe behavior, 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.

Über den Autor

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.

Inhaltsverzeichnis

PREFACE
CHAPTER 1 • INTRODUCTION
- 1.1 An ink blot
- 1.2 Welcome to the digital age
- 1.3 Research design
- 1.4 Themes of this book
- 1.5 Outline of this book
  - What to read next
- CHAPTER 2 • OBSERVING BEHAVIOR
  - 2.1 Introduction
  - 2.2 Big data
  - 2.3 Ten common characteristics of big data
    - 2.3.1 Big
    - 2.3.2 Always-on
    - 2.3.3 Nonreactive
    - 2.3.4 Incomplete
    - 2.3.5 Inaccessible
    - 2.3.6 Nonrepresentative
    - 2.3.7 Drifting
    - 2.3.8 Algorithmically confounded
    - 2.3.9 Dirty
    - 2.3.10 Sensitive
  - 2.4 Research strategies
    - 2.4.1 Counting things
    - 2.4.2 Forecasting and nowcasting
    - 2.4.3 Approximating experiments
  - 2.5 Conclusion
    - Mathematical notes
    - What to read next
    - Activities
  - CHAPTER 3 • ASKING QUESTIONS
    - 3.1 Introduction
    - 3.2 Asking versus observing
    - 3.3 The total survey error framework
      - 3.3.1 Representation
      - 3.3.2 Measurement
      - 3.3.3 Cost
    - 3.4 Who to ask
    - 3.5 New ways of asking questions
      - 3.5.1 Ecological momentary assessments
      - 3.5.2 Wiki surveys
      - 3.5.3 Gamification
    - 3.6 Surveys linked to big data sources
      - 3.6.1 Enriched asking
      - 3.6.2 Amplified asking
    - 3.7 Conclusion
      - Mathematical notes
      - What to read next
      - Activities
    - CHAPTER 4 • RUNNING EXPERIMENTS
      - 4.1 Introduction
      - 4.2 What are experiments?
      - 4.3 Two dimensions of experiments: lab–field and analog–digital.
      - 4.4 Moving beyond simple experiments
        4.4.1 Validity
        4.4.2 Heterogeneity of treatment effects
        4.4.3 Mechanisms
      - 4.5 Making it happen
        4.5.1 Use existing environments
        4.5.2 Build your own experiment
        4.5.3 Build your own product
        4.5.4 Partner with the powerful
      - 4.6 Advice
        4.6.1 Create zero variable cost data
        4.6.2 Build ethics into your design: replace, refine, and reduce
      - 4.7 Conclusion
        Mathematical notes
        What to read next
        Activities
      - CHAPTER 5 • CREATING MASS COLLABORATION
        5.1 Introduction
        5.2 Human computation
        5.2.1 Galaxy Zoo
        5.2.2 Crowd-coding of political manifestos
        5.2.3 Conclusion
        5.3 Open calls
        5.3.1 Netflix Prize
        5.3.2 Foldit
        5.3.3 Peer-to-Patent
        5.3.4 Conclusion
        5.4 Distributed data collection
        5.4.1 eBird
        5.4.2 PhotoCity
        5.4.3 Conclusion
        5.5 Designing your own
        5.5.1 Motivate participants
        5.5.2 Leverage heterogeneity
        5.5.3 Focus attention
        5.5.4 Enable surprise
        5.5.5 Be ethical
        5.5.6 Final design advice
        5.6 Conclusion
        What to read next
        Activities
        CHAPTER 6 • ETHICS
        6.1 Introduction
        6.2 Three examples
        6.2.1 Emotional Contagion
        6.2.2 Tastes, Ties, and Time
        6.2.3 Encore
        6.3 Digital is different
        6.4 Four principles
        6.4.1 Respect for Persons
        6.4.2 Beneficence
        6.4.3 Justice
        6.4.4 Respect for Law and Public Interest
        6.5 Two ethical frameworks
        6.6 Areas of difficulty
        6.6.1 Informed consent
        6.6.2 Understanding and managing informational risk
        6.6.3 Privacy
        6.6.4 Making decisions in the face of uncertainty
        6.7 Practical tips
        6.7.1 The IRB is a floor, not a ceiling
        6.7.2 Put yourself in everyone else’s shoes
        6.7.3 Think of research ethics as continuous, not discrete
        6.8 Conclusion
        Historical appendix
        What to read next
        Activities
        CHAPTER 7 • THE FUTURE
        7.1 Looking forward
        7.2 Themes of the future
        7.2.1 The blending of readymades and custommades
        7.2.2 Participant-centered data collection
        7.2.3 Ethics in research design
        7.3 Back to the beginning
        ACKNOWLEDGMENTS
        REFERENCES
        INDEX

Details

Erscheinungsjahr:	2019
Fachbereich:	Allgemeines
Genre:	Importe , Politikwissenschaft & Soziologie
Rubrik:	Wissenschaften
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9780691196107
ISBN-10:	0691196109
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Salganik, Matthew
Hersteller:	Princeton Univers. Press
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Abbildungen:	79 b&w illus./ 28 tables/ 2 maps
Maße:	229 x 178 x 24 mm
Von/Mit:	Matthew Salganik
Erscheinungsdatum:	01.08.2019
Gewicht:	0,751 kg