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Bit By Bit
: Social Research in the Digital Age
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Preface
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
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
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
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
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
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
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
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
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Princeton University Press
Amazon
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IndieBound
