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.