Visual Citizenship Communicating political opinions and emotions on social media
This book explores visual political engagement online – how citizens participate in the dynamism of life in society by expressing their opinions and emotions on various issues of democratic life in image-based social media posts, independently of collective actions.
Looking beyond large digital social movements to focus on the everyday, the book provides a well-documented and comprehensive framework of key notions, concrete methods and examples of empirical insights into everyday visual citizenship on social media. It shows how the visual has become ubiquitous in citizens’ communication on social media, focusing on how citizens use visual content to express their emotions and opinions on social media platforms when they discuss politics in a large sense.
With this book, every reader interested in political communication, visual communication and/or new media is fully equipped to analyse everyday visual citizenship on social media platforms.
The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
Part I: Concepts
Chapter 1. Everyday political expression as a citizenship practice
Chapter 2. Citizenship, social media and visual cultures
Chapter 3. Personalised citizenship
Chapter 4. Visual creativity and civic engagement
Chapter 5. Affective citizenship
Part II: Methods
Chapter 6. Challenges to the validity of visual studies
Chapter 7. Systemic functional approaches to visual content
Chapter 8. Methodological standards for quantitative content analysis of social media posts
Chapter 9. Categories for visual content analysis
Chapter 10. Appraisal in text-image social media content
Part III: Empirical insights
Chapter 11. The Brexit vote and its aftermath: quantitative results
Chapter 12. Opinions and emotions in text-image relations
Chapter 13. Metaphoric judgement and creativity in the Brexit context