Data-Driven Campaigning and Political Parties
Five Advanced Democracies Compared
Sorozatcím: Journalism and Political Communication Unbound;
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A termék adatai:
- Kiadó OUP USA
- Megjelenés dátuma 2024. március 28.
- ISBN 9780197570234
- Kötéstípus Puhakötés
- Terjedelem256 oldal
- Méret 160x226x27 mm
- Súly 363 g
- Nyelv angol 549
Kategóriák
Rövid leírás:
Challenging the often-hyperbolic claims that have been made around the use of data in election campaigns for voter manipulation and suppression, this book provides unrivalled evidence of how parties actually behave. It shows that data-driven campaigning practice is not inherently problematic or new, but neither is it uniform, rather systemic, regulatory and party level factors affecting the nature of campaigning. Providing detailed empirical examples from Australia, Canada, Germany, the UK and US, this book shows how parties campaign and explains why parties differ, thereby resetting prevailing understanding of the role of data in campaigns.
TöbbHosszú leírás:
What is data-driven campaigning? According to prevailing accounts, this idea describes the rise of increasingly sophisticated, highly targeted, and often invasive uses of data deployed to suppress votes, manipulate voter preferences, or boost a candidates' popularity. The power of data is seen to be transforming campaigning practice and raising democratic concerns. And yet, there is a significant problem with these ideas: we have at best a partial understanding of how data-driven campaigning is practiced, and limited clarity about its implications.
Presenting data from interviews with over 300 professional campaigners in Australia, Canada, Germany, the UK and US, we provide unique insight into the components of data-driven campaigning by political parties. This book makes three key contributions. First, distinguishing between data, analytics, technology and personnel, they give unmatched descriptive insight into these four components of data-driven campaigning, revealing significant variation in its operationalization, depending on party and country context. Second, introducing a novel multi-level theoretical framework, they isolate systemic, regulatory, and party level variables that help explain the reasons for these differences. Third, they consider the implications of their findings for debates about democracy, data and technology in the 21st century.
Cumulatively, these contributions reveal that data-driven campaigning is not inherently problematic. Giving voice to practitioner perspectives, through interviews and innovative vignettes, this book recasts the debate around data-driven campaigning, offering important lessons for scholars, campaigners, and policymakers alike.
This is an incredible book that takes a much-needed internationally comparative approach, offering important and nuanced insights into the practice of Data-Driven Campaigning. It is a captivating and thought-provoking read for anyone interested in data use in modern election campaigns.
Tartalomjegyzék:
Introduction
Chapter 2: Theoretical Framework
Chapter 3: Data
Chapter 4: Analytics
Chapter 5: Technology
Chapter 6: Personnel
Chapter 7: Explaining variation in DDC
Chapter 8: Conclusion
References
