Pieter Verdegem explores the ways society and data are interwoven, tackling the implications of big data for democracy, identify and the global economy and offering an interdisciplinary overview of a rapidly changing field.
Pieter Verdegem explores the ways society and data are interwoven, tackling the implications of big data for democracy, identify and the global economy and offering an interdisciplinary overview of a rapidly changing field. Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr Pieter Verdegem is Reader in Technology and Society and a member of CAMRI (the Communication and Media Research Institute) at the University of Westminster. His research investigates the political economy of media and communication and the impact of digital technologies on society. He is a Senior Fellow of the Higher Education Academy (SFHEA) and teaches core undergraduate and postgraduate modules. He is the Course Leader of the interdisciplinary MA in Data, Culture and Society.
Inhaltsangabe
PART 1. INTRODUCTION CHAPTER 1. HOW TO STUDY DATA, CULTURE AND SOCIETY? CHAPTER 2. DATA, ALGORITHMS AND SOCIETY PART 2. STRUCTURES AND FOUNDATIONS CHAPTER 3. CAPITALISM IN THE AGE OF DATA CHAPTER 4. DATA, DEMOCRACY AND POLITICS CHAPTER 5. DATA, IDENTITY AND SUBJECTIVITY CHAPTER 6. DATA, MACHINE LEARNING AND AI PART 3. APPLICATIONS AND CONTROVERSIES CHAPTER 7. DATA, INDUSTRIES AND GLOBALISATION CHAPTER 8. DATA, TECH AND INEQUALITIES CHAPTER 9. DATA, JOURNALISM AND DISINFORMATION CHAPTER 10. DATA, AUTOMATION AND WORK PART 4. CONCLUSION CHAPTER 11. DATA JUSTICE, ACTIVISM AND RESISTANCE
PART 1. INTRODUCTION CHAPTER 1. HOW TO STUDY DATA, CULTURE AND SOCIETY? CHAPTER 2. DATA, ALGORITHMS AND SOCIETY PART 2. STRUCTURES AND FOUNDATIONS CHAPTER 3. CAPITALISM IN THE AGE OF DATA CHAPTER 4. DATA, DEMOCRACY AND POLITICS CHAPTER 5. DATA, IDENTITY AND SUBJECTIVITY CHAPTER 6. DATA, MACHINE LEARNING AND AI PART 3. APPLICATIONS AND CONTROVERSIES CHAPTER 7. DATA, INDUSTRIES AND GLOBALISATION CHAPTER 8. DATA, TECH AND INEQUALITIES CHAPTER 9. DATA, JOURNALISM AND DISINFORMATION CHAPTER 10. DATA, AUTOMATION AND WORK PART 4. CONCLUSION CHAPTER 11. DATA JUSTICE, ACTIVISM AND RESISTANCE
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