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ویرایش: [1 ed.] نویسندگان: Andreas Hepp, Juliane Jarke, Leif Kramp سری: Transforming Communications – Studies In Cross-Media Research ISBN (شابک) : 3030961796, 9783030961824 ناشر: Palgrave Macmillan سال نشر: 2022 تعداد صفحات: 480 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 6 Mb
در صورت تبدیل فایل کتاب New Perspectives In Critical Data Studies: The Ambivalences Of Data Power به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب دیدگاههای جدید در مطالعات دادههای حیاتی: دوسوگرایی قدرت داده نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب دسترسی آزاد به بررسی دوگانگی قدرت داده می پردازد. اولا، دوگانگی بین زیرساخت های جهانی و نامرئی های محلی، روایت بزرگ ماهیت زودگذر یک زیرساخت داده جهانی را به چالش می کشد. آنها شرایط کار و زندگی محلی و منابع و ترتیبات مورد نیاز برای بهره برداری و اجرای آنها را قابل مشاهده می کنند. ثانیاً، این کتاب به بررسی دوگانگی بین دولت و عدالت داده میپردازد. عدالت دادهها را در رابطه با نظارت دولتی و سرمایهداری دادهها در نظر میگیرد و بر دوگانگیهای بین «دولت کارآفرین» و «دولت رفاه» منعکس میکند. ثالثاً، نویسندگان دوسویههای شیوههای روزمره و کنش جمعی را مورد بحث قرار میدهند که در آن گروههای جامعه مدنی، جوامع و جنبشها سعی میکنند منافع مردم را در مقابل «بازیگران بزرگ» در صنعت فناوری قرار دهند. این کتاب شامل هجده فصل است که دیدگاههای جدید و متنوعی را در مورد نقش دادهها و زیرساختهای داده در جوامع با دادههای روزافزون ما ارائه میکند.
This Open Access book examines the ambivalences of data power. Firstly, the ambivalences between global infrastructures and local invisibilities challenge the grand narrative of the ephemeral nature of a global data infrastructure. They make visible local working and living conditions, and the resources and arrangements required to operate and run them. Secondly, the book examines ambivalences between the state and data justice. It considers data justice in relation to state surveillance and data capitalism, and reflects on the ambivalences between an “entrepreneurial state” and a “welfare state”. Thirdly, the authors discuss ambivalences of everyday practices and collective action, in which civil society groups, communities, and movements try to position the interests of people against the “big players” in the tech industry. The book includes eighteen chapters that provide new and varied perspectives on the role of data and data infrastructures in our increasingly datafied societies.
Contents Notes on Contributors List of Figures List of Images List of Tables 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