Produktbild: Social Media, Sociality, and Survey Research

Social Media, Sociality, and Survey Research

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2013

Verlag

John Wiley & Sons Inc

Seitenzahl

360

Maße (L/B/H)

23,4/15,6/2 cm

Gewicht

550 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-37973-8

Beschreibung

Rezension

"This book is a must read for any researcher who wants to make use of social media data; it is incisive, instructive, easy to read and, above all, fascinating." ( Social Research Association , 1 June 2014)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.10.2013

Verlag

John Wiley & Sons Inc

Seitenzahl

360

Maße (L/B/H)

23,4/15,6/2 cm

Gewicht

550 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-37973-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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Die Leseprobe wird geladen.
  • Produktbild: Social Media, Sociality, and Survey Research
  • List of Figures xiii

    List of Tables xvii

    Contributors xix

    Preface xxi

    Acknowledgments xxv

    1. Social Media, Sociality, and Survey Research 1
    Joe Murphy, Craig A. Hill, and Elizabeth Dean

    What Is Social Media? 2

    Social Media Origins 6

    Social Networking Sites and Platforms 6

    Blogs 8

    Twitter 8

    Facebook 9

    LinkedIn 9

    Second Life 9

    Other Social Networking Platforms and Functionalities 10

    Why Should Survey Researchers Be Interested in Social Media? 11

    The Current State of Survey Research 11

    Falling Response Rates 11

    Frame Coverage Errors 13

    The Coming Age of Ubiquity 14

    Public vs. Private Data 17

    Social Media Interaction: Next Wave (or Subwave)? 18

    Adding Social Media to the Survey Research Toolbox 21

    Toward Using the Concept of Sociality in Survey Research of the Future 22

    How Can Survey Researchers Use Social Media Data? 26

    References 28

    2. Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data 35
    Carol Haney

    Describing Emotional or Subjective Feeling in Textual Data 36

    Definition of Machine-Augmented Sentiment Analysis 37

    How Sentiment Analysis Is Used with Text Data 38

    Different Ways of Representing Sentiment 42

    Ordinal Scales 42

    Nominal Emotion Classification 43

    Neutral Sentiment 44

    Techniques for Determining Sentiment 44

    Precursors to Analysis 44

    Harvesting 46

    Structure and Understand 50

    Approaches to Determining Sentiment 51

    Machine-Coded Sentiment Analysis 51

    Human-Coded Sentiment Analysis 53

    Sentiment Analysis as a Subset of Text Analytics 54

    Current Limitations of Sentiment Analysis 57

    References 59

    3. Can Tweets Replace Polls? A U.S. Health-Care Reform Case Study 61
    Annice Kim, Joe Murphy, Ashley Richards, Heather Hansen, Rebecca Powell, and Carol Haney

    Methods 64

    Twitter Data 64

    Public Opinion About Health-Care Reform: Kaiser Health Tracking Poll 70

    Analysis 70

    Results 71

    RQ1: To What Extent Was Health-Care Reform Discussed on Twitter? 71

    RQ2: What Is the Distribution of Sentiment of Health-Care Reform Tweets? 74

    RQ3. Do Trends in the Sentiment of Tweets About Health-Care Reform Correlate with Observed Trends
    in Public Opinion About Health-Care Reform from Nationally Representative Probability-Based Surveys? 75

    KFF Trends 75

    Comparison 77

    RQ4. What Are the Key Topics Discussed in Health-Care Reform Tweets? 78

    Discussion 80

    Conclusions 84

    References 85

    4. The Facebook Platform and the Future of Social Research 87
    Adam Sage

    The Changing Web: From Searchable to Social 88

    Digital and Digitized Data 93

    The Case for Facebook Integration 94

    Data and the Graph API 97

    Facebook Applications 99

    Social Plugins 103

    The Future, Mobile Apps, and the Ever Increasing Complexity of the Social Graph 104

    References 104

    5. Virtual Cognitive Interviewing Using Skype and Second Life 107
    Elizabeth Dean, Brian Head, and Jodi Swicegood

    Brief Background on Cognitive Interviews 108

    Cognitive Interviewing Current Practice 109

    Practitioners' Techniques 109

    Cognitive Interviews in Practice: Present and Future 112

    Second Life for Survey Research 114

    Methods 115

    Recruitment 115

    Screening 117

    Incentive 118

    Think-Aloud and Probes 118

    Results 118

    Overall Participant Characteristics 118

    Feasibility of Pilot Study 120

    Quality of Cognitive Interviews by Mode 121

    Participant Disengagement 122

    Nonverbal Cues 125

    Total Problems 126

    Type and Severity of Problems 126

    Conclusions 127

    Discussion and Future Research 128

    References 129

    6. Second Life as a Survey Lab: Exploring the Randomized Response Technique in a Virtual Setting 133
    Ashley Richards and Elizabeth Dean

    Overview of Second Life 134

    Research in Second Life 134

    The Randomized Response Technique 136

    Study Design 137

    Results 142

    Discussion 144

    References 146

    7. Decisions, Observations, and Considerations for Developing a Mobile Survey App and Panel 149
    David Roe, Yuying Zhang, and Michael Keating

    Impact of the Evolution of Technology on Data Collection 150

    Telephone Interviewing 151

    Web Interviewing 151

    Cell Phones 152

    Smartphones 153

    Building an App 156

    Goals 157

    Preliminary Findings 168

    Recruitment 170

    Respondent Communication 170

    Survey Topics 172

    Respondent Impressions on Incentives, Survey Length, and Frequency 175

    Next Steps 175

    References 176

    8. Crowdsourcing: A Flexible Method for Innovation, Data Collection, and Analysis in Social Science Research 179
    Michael Keating, Bryan Rhodes, and Ashley Richards

    What Is Crowdsourcing? 180

    Open Innovation 181

    Cisco Systems I-Prize Challenge 182

    RTI International's 2012 Research Challenge 183

    Options for Hosting Your Own Challenges 185

    Legal Considerations 186

    Data Collection 187

    Crowdsourcing Survey Response on Mechanical Turk 187

    Targeted Data Collection 190

    Cost Considerations 194

    MyHeartMap Challenge 195

    Analysis by Crowdsourcing 197

    Sentiment Analysis 197

    Challenge-Based Data Analysis 198

    Conclusion 199

    References 200

    9. Collecting Diary Data on Twitter 203
    Ashley Richards, Elizabeth Dean, and Sarah Cook

    Background 204

    Twitter 204

    Diaries 204

    Methods 206

    Recruitment 208

    Data Collection 210

    Results 211

    Nonresponse 212

    Data Quality 216

    Incentive Preference 221

    Participant Feedback 222

    Discussion 227

    References 229

    10. Recruiting Participants with Chronic Conditions in Second Life 231
    Saira N. Haque and Jodi Swicegood

    Background 233

    Methods 234

    Instrument Development 235

    Recruitment Methods 235

    Survey Administration 244

    Results 244

    Discussion 247

    Communities 247

    Using Existing Second Life Resources 248

    Other Effective Methods 249

    The Importance of the Recruitment Avatar 249

    Conclusion 250

    References 251

    11. Gamification of Market Research 253
    Jon Puleston

    Significance of Gamification in Market Research 254

    Apply Gamification to Market Research 256

    Gamification in Survey Design 259

    Apply Rules to Question Design 265

    Add the Competitive Element 269

    Add Reward Mechanics 271

    Give Feedback 272

    Make Tasks More Involving 273

    Ensure the Challenge Can Be Accomplished 275

    How to Design Questions To Be More Game-Like 275

    Common Questions About Gamification 284

    Who Responds to Gamification? 284

    What Impact Does Gamification Have on the Data? 285

    How Do These Techniques Work in Different Cultures? 289

    Conclusions 291

    References 292

    12. The Future of Social Media, Sociality, and Survey Research 295
    Craig A. Hill and Jill Dever

    Statistical Challenges with Social Media Data 296

    Quality and Representativeness 297

    Sampling from Social Media Sources 298

    Population Estimation from Social Media Data 303

    Future Opportunities 306

    What Does the Future Hold? 307

    Sociality Hierarchy Level 1: Broadcast 308

    Sociality Hierarchy Level 2: Conversation 311

    Sociality Hierarchy Level 3: Community 312

    Final Thoughts 314

    References 315

    Index 319