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Social Media Data Extraction and Content Analysis

Book Description

In today’s society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives. As significant amounts of data flood these venues, it has become necessary to find ways to collect and evaluate this information. Social Media Data Extraction and Content Analysis explores various social networking platforms and the technologies being utilized to gather and analyze information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Dedication
  6. Editorial Advisory Board
  7. List of Reviewers
  8. Foreword
    1. Why Datafy Social Media?
  9. Foreword
    1. Using Social Media to Track People
  10. Preface
    1. SOME EMPIRICAL RESEARCH-BASED INSIGHTS
    2. DATAFICATION OF SOCIAL MEDIA DATA
    3. OPEN CHALLENGES
    4. GETTING TO “YES” WITH BOOK CONTRIBUTORS
    5. INITIAL AMBITIONS FOR THE TEXT
    6. SECTION 1: MODELING WITH SOCIAL DATA
    7. SECTION 2: ANALYTICS FROM THE ONLINE CROWD
    8. SECTION 3: TAPPING SPECIFIC SOCIAL MEDIA PLATFORMS
    9. SECTION 4: APPLIED USES OF SOCIAL MEDIA DATA FOR AWARENESS AND PROBLEM-SOLVING
  11. Acknowledgment
  12. Section 1: Modeling with Social Data
    1. Chapter 1: Devising Parametric User Models for Processing and Analysing Social Media Data to Influence User Behaviour
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DEVISING A DATA THEORY: CONSIDERING METHODOLOGICAL APPROACHES TO SOCIAL MEDIA RESEARCH
      5. APPROACHES TO DATA ANALYSIS
      6. APPROACHES TO DATA VERIFICATION
      7. TOWARDS A NEW APPROACH FOR SOCIAL MEDIA ANALYSIS
      8. A PROPOSAL AND PILOT STUDY FOR VALIDATING THE PRAXIS
      9. LIMITATIONS AND FUTURE RESEARCH DIRECTIONS
      10. DISCUSSION
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    2. Chapter 2: Mining the Edublogosphere to Enhance Teacher Professional Development
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. NETWORK-BASED APPROACH TO LEARNER MODELING
      5. IMPLICATIONS OF NETWORK-BASED LEARNER MODELS
      6. PRELIMINARY FINDINGS
      7. CONCLUSION
      8. FUTURE RESEARCH DIRECTIONS
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Weak Ties and Value of a Network in the New Internet Economy
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. INTERNET ECONOMY AND E-BUSINESS
      5. NETWORK VALUE
      6. STRONG AND WEAK TIES
      7. SOLUTIONS AND RECOMMENDATIONS
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. REFERENCES
      11. KEY TERMS AND DEFINITIONS
      12. ENDNOTES
      13. APPENDIX: SOCIAL MEDIA MARKETING INDUSTRY REPORT
    4. Chapter 4: Usability Evaluation of Social Media Web Sites and Applications via Eye-Tracking Method
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODOLOGY
      4. 3. FINDINGS
      5. 4. RESULTS
      6. REFERENCES
      7. ADDITIONAL READING
      8. KEY TERMS AND DEFINITIONS
  13. Section 2: Analytics from the Online Crowd
    1. Chapter 5: A Route Recommender System Based on Current and Historical Crowdsourcing
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. R2C2 (ROUTE RECOMMENDER ON CURRENT CROWD INFORMATION)
      5. EXPERIMENTAL STUDY
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 6: Customer Complaints in Social Networks in the Spanish Telecommunication Industry
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. METHODOLOGY
      5. CONCLUSION
      6. REFERENCES
      7. ADDITIONAL READING
      8. KEY TERMS AND DEFINITIONS
      9. ENDNOTE
    3. Chapter 7: Applied Analytical “Distant Reading” using NVivo 11 Plus™
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. APPLIED DISTANT READING USING NVIVO 11 PLUS
      5. HOW THE TEXT SETS WERE ASSEMBLED
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. APPENDIX: A REFLECTION: FROM “CLOSE READING” TO “DISTANT READING” AND BACK
    4. Chapter 8: Conducting Sentiment Analysis and Post-Sentiment Data Exploration through Automated Means
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. STARTING WITH SENTIMENT ANALYSIS TO AUTOCODE DATA
      5. DISCUSSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
  14. Section 3: Tapping Specific Social Media Platforms
    1. Chapter 9: Exploring “User,” “Video,” and (Pseudo) Multi-Mode Networks on YouTube with NodeXL
      1. ABSTRACT
      2. INTRODUCTION
      3. A SELECTIVE REVIEW OF THE LITERATURE
      4. EXPLORING YOUTUBE “USER,” “VIDEO,” AND MIXED-MODE NETWORKS
      5. 1. ENTITIES
      6. 2. IN-WORLD PHENOMENA
      7. 3. IMAGINARY OR FICTIONAL PHENOMENA
      8. 4. THEMES (CONCEPTS)
      9. 5. REPUTATIONS (BY NAME)
      10. 6. GENRES
      11. 7. LANGUAGE-SPECIFIC PHENOMENA
      12. 8. LOCATION-SPECIFIC PHENOMENA
      13. DISCUSSION
      14. FUTURE RESEARCH DIRECTIONS
      15. CONCLUSION
      16. ACKNOWLEDGMENT
      17. REFERENCES
      18. ADDITIONAL READING
      19. KEY TERMS AND DEFINITIONS
    2. Chapter 10: Flickering Emotions
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. EXPLORING SENSES OF COLLECTIVE EMOTIONS AS EMBODIED IN RELATED TAGS NETWORKS ON FLICKR CONTENTS
      5. DISCUSSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. APPENDIX
    3. Chapter 11: Creating “(Social) Network Art” with NodeXL
      1. ABSTRACT
      2. INTRODUCTION
      3. A SAMPLER OF (SOCIAL) NETWORK ART FROM NODEXL
      4. IN MOSTLY “NATURAL” STATES
      5. USING DATA DENSITY AS A FORCING FUNCTION
      6. FILTERING OR HIDING INFORMATION
      7. GOING WITH GLITCHES
      8. A PRIORI DATA STRUCTURES
      9. AN OVERLAY OF TEXT AND SYMBOLS
      10. MORE ARTIFICE
      11. BUILDING (SOCIAL) NETWORK ART WITH NODEXL
      12. ACKNOWLEDGMENT
      13. REFERENCES
      14. ADDITIONAL READING
      15. KEY TERMS AND DEFINITIONS
      16. APPENDIX
  15. Section 4: Applied Uses of Social Media Data for Awareness and Problem-Solving
    1. Chapter 12: Social Network Synthesis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SOCIAL NETWORK APPROACHES
      5. AN EXAMPLE FRAMEWORK FOR BUILDING DISTANCE EDUCATION PROGRAMS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 13: Facebook Content Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF LITERATURE
      4. METHODOLOGY
      5. RESULTS
      6. DISCUSSION
      7. FUTURE RESEARCH
      8. CONCLUSION
      9. REFERENCES
    3. Chapter 14: Code Reuse
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
  16. Compilation of References
  17. About the Contributors