The Big Data Agenda
Annika Richterich
The Big Data Agenda
Free
Description
Contents
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This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work.

The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. KU is a collaborative initiative designed to make high quality books Open Access for the public good. More information about the initiative and details about KU's Open Access programme can be found at www.knowledgeunlatched.org.

Language
English
ISBN
978-1-911534-72-3
Chapter 1: Introduction
Big Data: Notorious but Thriving
Critical Data Studies
Aims and Chapters
Chapter 2: Examining (Big) Data Practices and Ethics
What it Means to ‘Study Data’
Critical Perspectives
Approach: Pragmatism and Discourse Ethics
Chapter 3: Big Data: Ethical Debates
Privacy and Security
Open Data
Data Asymmetries and Data Philanthropy
Informed Consent
Algorithmic Bias
Data Economies
Chapter 4: Big Data in Biomedical Research
Strictly Biomedical?
Who is Affected, Who is Involved?
Funding Big Data-Driven Health Research
The Role of Tech Philanthrocapitalism
Digital Public Health Surveillance
Chapter 5: Big Data-Driven Health Surveillance
High-Risk Tweets: Exposing Illness and Risk Behaviour
Unhealthy Likes: Data Retrieval Through Advertising Relations
Public Health and Data Mashups
Chapter 6: Emerging (Inter-)Dependencies and their Implications
Stakeholders, Discursive Conditions, Validity Claims
From Data-Driven to Data-Discursive Research
Notes
References
Index
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