Cover Image

Trade Unions on YouTube : Online Revitalization in Sweden.

Bibliographic Details
Main Author: Jansson, Jenny.
Other Authors: Uba, Katrin.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2019.
Edition:1st ed.
Subjects:
Electronic books.
Online Access:Click to View
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.

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