Book contents
- Data-Driven Personalisation in Markets, Politics and Law
- Data-Driven Personalisation in Markets, Politics and Law
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Introduction: Theoretical Perspectives
- Part II Themes: Personal Autonomy, Market Choices and the Presumption of Innocence
- Part III Applications: From Personalised Medicine and Pricing to Political Micro-Targeting
- 9 ‘P4 Medicine’ and the Purview of Health Law: The Patient or the Public?
- 10 Personalised Pricing: The Demise of the Fixed Price?
- 11 Data-Driven Algorithms in Criminal Justice: Predictions as Self-fulfilling Prophecies
- 12 From Global Village to Smart City: Reputation, Recognition, Personalisation, and Ubiquity
- 13 Micro-targeting in Political Campaigns: Political Promise and Democratic Risk
- Part IV The Future of Personalisation: Algorithmic Foretelling and Its Limits
- Index
13 - Micro-targeting in Political Campaigns: Political Promise and Democratic Risk
from Part III - Applications: From Personalised Medicine and Pricing to Political Micro-Targeting
Published online by Cambridge University Press: 09 July 2021
- Data-Driven Personalisation in Markets, Politics and Law
- Data-Driven Personalisation in Markets, Politics and Law
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Introduction: Theoretical Perspectives
- Part II Themes: Personal Autonomy, Market Choices and the Presumption of Innocence
- Part III Applications: From Personalised Medicine and Pricing to Political Micro-Targeting
- 9 ‘P4 Medicine’ and the Purview of Health Law: The Patient or the Public?
- 10 Personalised Pricing: The Demise of the Fixed Price?
- 11 Data-Driven Algorithms in Criminal Justice: Predictions as Self-fulfilling Prophecies
- 12 From Global Village to Smart City: Reputation, Recognition, Personalisation, and Ubiquity
- 13 Micro-targeting in Political Campaigns: Political Promise and Democratic Risk
- Part IV The Future of Personalisation: Algorithmic Foretelling and Its Limits
- Index
Summary
Data-driven personalisation is emerging as a central force in political communication. Political micro-targeting has the potential to enhance political engagement and to make it easier and more effective for political parties and movements to communicate with potential voters and supporters. However, the collection and use of personal information about voters also affects their privacy rights and can interfere with personal autonomy essential for democracy.
This chapter argues that the rise of data-driven communications requires a revaluation of the role of information privacy in political campaigns. Data protection laws have an important role to play in limiting the processing of personal data and requiring data practices to be designed in a manner that balances privacy and competing rights. In our view, there is no longer a good case for the retention in data protection laws of exemptions for political parties or actors, or overly broad provisions permitting data processing in political contexts.
Subjecting political parties and digital intermediaries to the general requirements of fair, transparent and lawful processing would go some way towards moderating political micro-targeting. The imposition of any privacy-based restrictions on political actors would enhance voter privacy, engender more trust in political communication and, ultimately, protect democratic discourse.
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- Data-Driven Personalisation in Markets, Politics and Law , pp. 223 - 240Publisher: Cambridge University PressPrint publication year: 2021
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