— How is data shaping our identities?
— What was the ′data revolution′, and how did it happen?
— How will AI change our societies?
We live in the age of datafication: every aspect of our lives has been captured and transformed into data, from our sleeping patterns and step counts to our buying habits and political views. In this exciting new textbook, you will discover the intricate ways in which data and society are interwoven. Explaining key concepts such as ′big data′ and putting theory into practice throughout, this book will make you a better expert in data and society, offering an interdisciplinary overview of a rapidly evolving field. This textbook tackles the implications of big data for democracy, identity and the global economy, showing how we cannot view our lives as separate from the technologies we have come to rely on. With learning objectives, case studies, further reading and extra resources provided in each chapter, this book is the ideal companion for students in the digital humanities and social sciences looking to deepen their understanding of data, culture and society.
Содержание
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
Об авторе
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.
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