Trade Unions on YouTube : : Online Revitalization in Sweden.

• Author: Jansson, Jenny.
• TeilnehmendeR: Uba, Katrin.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2019.; Ã2019.
• Year of Publication: 2019
• Edition: 1st ed.
• Language: English
• Physical Description: 1 online resource (170 pages)

Table of Contents

• Intro
• Acknowledgements
• Contents
• List of Figures
• List of Tables
• Chapter 1 Introduction
• Abstract
• 1.1 Why Focus on Trade Union Revitalization via Social Media?
• 1.2 Why Focus on YouTube?
• 1.3 Why Focus on Trade Unions in Sweden?
• 1.4 The Argument-Audiences, Messages and Self-Image Across Unions
• 1.5 Data Collection, Coding and Analysis Methods
• 1.6 Outline of the Book
• References
• Chapter 2 Audiences: Who Do Unions Target?
• Abstract
• 2.1 Targeting Members and Potential Members of Swedish Trade Unions
• 2.2 Swedish Trade Unions and Audiences
• 2.3 Targets in the Large N Dataset: Method and Findings
• 2.4 Findings in the Large N Dataset
• 2.5 Targets in the Small N Dataset
• 2.6 Conclusion
• References
• Chapter 3 Messages: Political Action-Agenda-Setting, Elections and Protests
• Abstract
• 3.1 Unions' Political Activism and Expected Variations in Sweden
• 3.2 Political Messages in the Large N Sample: Method and Findings
• 3.3 Comparing Unions in the Large N Sample
• 3.3.1 Election Campaigns: All About Timing?
• 3.4 Political Activism in the Small N Sample: Method and Findings
• 3.5 Trade Unions' Political Engagement on YouTube
• References
• Chapter 4 Self-Images on YouTube
• Abstract
• 4.1 Self-Images: A Theoretical Framework
• 4.2 Revitalization Dimensions of Self-Images
• 4.3 Selection of Cases
• 4.4 Exclusive Collectivism: The LO Unions
• 4.5 Inclusive Individualism: The TCO Unions
• 4.6 Professions Above All? The Saco Unions
• 4.7 Conclusions
• References
• Chapter 5 Trade Unions on YouTube: Conclusions
• Abstract
• 5.1 Examining YouTube: What Can Be Inferred from Metadata?
• 5.2 For the Future
• References
• Appendix
• Appendix: YouTube Metadata
• The Collection of YouTube Metadata
• Coding the Large-N Data.
• Coding the Small-N Sample of Videos (Small-N Dataset)
• In-Depth Qualitative Analysis of Videos
• Additional Tables
• References
• Index.