Cover Image

New Perspectives in Critical Data Studies : The Ambivalences of Data Power.

Bibliographic Details
Main Author: Hepp, Andreas.
Other Authors: Jarke, Juliane., Kramp, Leif.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2022.
Edition:1st ed.
Series:Transforming Communications - Studies in Cross-Media Research Series
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • New Perspectives in Critical Data Studies
  • Contents
  • List of Figures
  • List of Tables
  • List of Images
  • Notes on Contributors
  • New Perspectives in Critical Data Studies: The Ambivalences of Data Power-An Introduction
  • Introduction
  • Critical Data Studies as a Field: From Big Data to the Complexity of Digital Data and Data Infrastructures
  • Perspectives in Critical Data Studies: The Ambivalences of Data Power
  • References
  • Part I: Global Infrastructures and Local Invisibilities
  • Data Power and Counter-power with Chinese Characteristics
  • Introduction
  • AI Superpower?
  • Complex Reality Through Historical and Conflictive Lenses
  • Chinese Data Power and Counter-power
  • Conclusion
  • References
  • Transnational Networks of Influence: The Twitter Presence of the Quantified Self and Maker Movements' Organizational Elites
  • Introduction
  • State of Research: The QS and Maker Movements' Organisational Elites
  • Methodological Approach: Contextualised Twitter Network Analysis
  • QS Movement: A Network of Opinion Leaders
  • The Transnational Network
  • The National Context
  • Maker: A Network of Heterogeneous Organisations
  • The Transnational Network
  • The National Context
  • Conclusion
  • References
  • The Power of Data Science Ontogeny: Thick Data Studies on the Indian IT Skill Tutoring Microcosm
  • Introduction
  • An Overview of Technical Education, Higher Education, and Unemployability in India
  • Methodology and Field Sites
  • The Ameerpet IT Skill Hub: There Is a Skill Just Around the Corner
  • The Coaching Micro Hubs of Kumbakonam
  • Computer Coaching Centres
  • Beyond Developing IT Skills to Employment
  • Conclusion
  • References
  • Fighting the "System": A Pilot Project on the Opacity of Algorithms in Political Communication
  • Introduction
  • Political Communication in the Age of Algorithms.
  • Research Objectives and Methodology
  • Establishing and Feeding Control Accounts
  • Creating Profiles and Feeding the Control Accounts
  • Preliminary Findings
  • Next Steps
  • Conclusion
  • References
  • Indigenous Peoples, Data, and the Coloniality of Surveillance
  • Introduction
  • Colonialism and the Racialised Surveillance of Indigenous Peoples
  • Surveilling and Managing Indigenous Deviance and Threat
  • Colonial Surveillance in an Era of Big Data in Aotearoa NZ
  • Māori Data Sovereignty: Resistance and Self-determination
  • Conclusion
  • References
  • Part II: State and Data Justice
  • The Datafied Welfare State: A Perspective from the UK
  • Introduction
  • Matrix of Social Power and the Foundations of the British Welfare State
  • The Datafication of Welfare in the UK
  • Datafication as Responsibilisation
  • Datafication as Rentierism
  • Conclusion
  • References
  • The Value Dynamics of Data Capitalism: Cultural Production and Consumption in a Datafied World
  • Introduction
  • Value and Values
  • Dynamics of Data Capitalism
  • Relations Between Value Forms
  • Conclusions
  • References
  • Mapping Data Justice as a Multidimensional Concept Through Feminist and Legal Perspectives
  • Introduction
  • "What's in a Name?"-Data Justice as a Concept in Feminist and Legal Scholarship
  • Feminist Accounts of Data Justice
  • Legal Framework: Justice, Data, and the Challenges of Digitalisation
  • Data Protection Law
  • The Justice Aspects of Non-personal Data
  • Expanding Data Justice Through Feminist and Legal Perspectives
  • Feminist Avenues Towards Rethinking Data Justice
  • Feminist Suggestions for IT-Design Towards Data Justice
  • Legal Interventions for Data Justice in the Current Legal Framework
  • Towards Operationalising Data Justice
  • Potentials and Limitations of Integrating Feminist and Legal Perspectives for Data Justice in IT-Design.
  • References
  • Reconfiguring Education Through Data: How Data Practices Reconfigure Teacher Professionalism and Curriculum
  • Introduction
  • Data Practices Reconfiguring Education
  • Following the Social Life of Data in an English Secondary School
  • Prioritising Pupils: The Data Drop Machinery
  • Reconfiguring Access to and Delivery of the Curriculum
  • An Algorithmic Triage Device Determining Curricular Access
  • Disaggregating the Curriculum to Calculate 'Progress' Data
  • Averaging 'Progress' Scores
  • Reconfiguring the Possibilities of Qualification, Socialisation and Subjectification
  • Reconfiguring Teachers' Educational Knowledge and Judgements
  • Excluding Professional Judgement
  • Becoming a Data-orientated Teacher and School
  • Standardising Judgement and Practice
  • Conclusion: What Is Made to Matter and What Is Excluded from Mattering?
  • References
  • Public Values and Technological Change: Mapping how Municipalities Grapple with Data Ethics
  • Introduction
  • Method: Participatory Observation with DEDA
  • Analysis: Moore's Triangle Made Tangible
  • Operational Capacities
  • Authorising Environment
  • Public Value Outcomes
  • Conclusion
  • References
  • Welfare Data Society? Critical Evaluation of the Possibilities of Developing Data Infrastructure Literacy from User Data Workshops to Public Service Media
  • Introduction
  • Notions of Digital Literacy Based on User Data Workshops
  • YLE Learning as a Content Provider for Digital and Data Infrastructure Literacy
  • Conclusion
  • References
  • Part III: Everyday Practices and Collective Action
  • (Not) Safe to Use: Insecurities in Everyday Data Practices with Period-Tracking Apps
  • Introduction
  • Material and Methods
  • Situating Period Trackers and Period Tracking
  • Situating Period Trackers as Gendered Technology
  • Resonances in Observing and Measuring Menstrual Cycles.
  • Motives, Benefits, and Promises of App-Based Period Tracking
  • Reasons for Tracking Menstrual Cycles
  • Benefits of Using an App
  • The Promise of Data and Smart Algorithms: To Be on the Safe Side
  • Critiques of Period Trackers' Smartness: Two Safety Concerns or Data Insecurities
  • Unwise Algorithms and Old Methods Repackaged
  • Critical Dataflows of Intimate Data
  • Negotiating Data Insecurities-Pitfalls, Lessons Learned, and New Competences
  • Data Insecurities 1: Understanding Menstruating Bodies with and Through Data
  • Data Insecurities 2: Sidestepping the Vague Privacy of Logged Data
  • Conclusion
  • References
  • Community Rankings and Affective Discipline: The Case of Fandometrics
  • Fan Data and Fandom Metrics
  • Locating Community Rankings in Social Media and Audience Measurement
  • Large and Loud…Without Sentiment
  • Who Is Silenced?
  • "Drown Them Out!" Industry-Encouraged Competition and Quantification Anxiety
  • Leaving Metrics, Reclaiming Data
  • References
  • Affinity Spaces as an Analytical Lens for Attending to Temporality in Critical Data Studies: The Case of COVID-19-Related, Educational Twitter Communication
  • Introduction
  • Analysing Twitter in Times of Crisis
  • The COVID-19 Pandemic and German Education in Context
  • Case Study and Research Design
  • #twlz as an Affinity Space
  • Educational Technologies and Their Providers in #twlz
  • The Quest for Dialogue with Political Actors
  • Towards a Process View in Critical Data Studies
  • References
  • "Party like it's December 31, 1983": Supporting Data Literacy at CryptoParties
  • Introduction
  • From Media Literacy to Data Literacy
  • Case Studies and Methods
  • Supporting Data Literacy at CryptoParties
  • Conclusion
  • References
  • Researching Public Trust in Datafication: Reflections on the Deliberative Citizen Jury as Method.
  • Introduction: Citizen Juries as Research Methods
  • Public Perceptions of Datafication
  • Our Citizen Jury Process
  • Session 1: What Are Your Criteria for Trusted Interactions with Data-Driven Systems?
  • Session 2: What Are Your Criteria for a Trusted Way of Managing Data?
  • Section 3: What Are the Most Important Criteria for the Design of Ethical, Just and Trusted Data-Driven Systems?
  • Reflections on Findings and on the Citizen Jury as Method for Researching Public Trust in Datafication
  • References
  • Worker Perspectives on Designs for a Crowdwork Co-operative
  • Introduction
  • Platform Co-operativism
  • Moving Towards a Critical Design Epistemology
  • Crowdworker Perspectives on Crowdwork Co-operatives
  • Towards a Worker-Driven Design for a Crowdwork Co-operative
  • Co-operative Values from the Workers' Perspective
  • Platform Infrastructure
  • Payment
  • Quality Control
  • Decision Making and Governance
  • A Prototype Software Architecture for a Crowdwork Co-operative
  • Example of the Worker Seeking Role and Worker Role Views
  • Conclusion: Towards a Crowdwork Co-operative Prototype?
  • References
  • Counting, Debunking, Making, Witnessing, Shielding: What Critical Data Studies Can Learn from Data Activism During the Pandemic
  • Introduction
  • Two Shifts of Data Power
  • Data Activism as an Alternative to Dominant Data Power
  • Data Activist Tactics During the COVID-19 Pandemic
  • Counting
  • Debunking
  • Making
  • Witnessing
  • Shielding
  • Data Activism Reloaded: Open Questions for the Post-pandemic World
  • What Path for Critical Data Studies?
  • References
  • Index.

Similar Items