Info
Collaborative Research in the Datafied Society : Methods and Practices for Investigation and Intervention
| Collaborative Research in the Datafied Society : Methods and Practices for Investigation and Intervention |
| Autore | Schäfer Mirko Tobias |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam : , : Amsterdam University Press, , 2024 |
| Descrizione fisica | 1 online resource (307 pages) |
| Disciplina | 001.30285 |
| Altri autori (Persone) |
Van EsKarin
LauriaultTracey |
| Soggetto topico | EDUCATION / Higher |
| Soggetto non controllato | Societal impact, action research, data studies, higher education |
| ISBN |
1-04-077657-4
1-003-69271-0 1-04-078956-0 90-485-5592-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- Acknowledgements -- Foreword: The Power of Collaborative Explorations -- Part I: Theory and Position Papers -- Chapter 1: Making a Difference: The Epistemic Value of Collaborative Research in a Datafied Society -- Chapter 2: Performing Critical Data Studies from the Inside: Working with Government to Change Data Regimes -- Chapter 3: Confronting Politicized Research: The Case for Reflexive Neutrality -- Chapter 4: Inside Datafication: Entrepreneurial Research for Investigating Emerging Data Practices -- Chapter 5: Open Government Partnership (OGP): Balancing Expertise, Practice, and the Academy -- Chapter 6: The Challenge of Addressing Subjectivities through Participatory Action Research on Datafication -- Part II: Case Studies -- Chapter 7: Community Responses to Family Violence Policy: A Public Sector Collaboration -- Chapter 8: Data Against Feminicide: The Process and Impact of Codesigning Digital Research Tools -- Chapter 9: The Fairwork Project: Promoting Good Labor Practices in the Digital Platform Economy through Action Research -- Chapter 10: Advancing Equity through Data Practices : A Transformative Model for Organizational Change -- Chapter 11: Advancing Critical Data Literacy through Justice-Focused Research: A Case Study of the Occupational Hazards of Mass Incarceration -- Chapter 12: Empowering Citizenship Through Academic Practices : The Case Study of Amazonian Civic Media -- Chapter 13: Speculative Data Infrastructures: Prototyping a Public Database on Corporate Tax Avoidance -- Chapter 14: The DataWorkplace: Collaborative Learning about Datafication in Local Government -- Chapter 15: You Will Be Assimilated: Reflections on Ethnographic Fieldwork on Algorithmic Systems.
Chapter 16: Lessons Learned from The eQuality Project: Privacy and Equality for Youth in Networked Spaces -- Afterword -- Bibliography -- Index. |
| Record Nr. | UNINA-9910878866903321 |
Schäfer Mirko Tobias
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| Amsterdam : , : Amsterdam University Press, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es
| The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es |
| Autore | van Es Karin |
| Pubbl/distr/stampa | Amsterdam University Press, 2017 |
| Descrizione fisica | 1 online resource (269 pages) |
| Disciplina | 300 |
| Soggetto topico |
Big data - Moral and ethical aspects
Digital humanities - Research |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato | Internet research, data analysis, data visualization, social media, data journalism, society |
| ISBN | 90-485-3101-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Acknowledgements -- Foreword -- Introduction: brave new world / Karin van Es and Mirko Tobias Schäfer. Section 1 : Studying culture through data : Humanistic data research: an encounter between epistemic traditions / Eef Masson -- Towards a "humanistic cinemetrics?" / Christian Gosvig Olesen -- Cultural analytics, social computing and digital humanities / Lev Manovich -- Case study: on Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur and Lev Manovich -- Foundations of digital methods: query design / Richard Rogers -- Case study: webs and streams - mapping issue networks using hyperlinks, hashtags and (potentially) embedded content / Natalia Sánchez-Querubín. Section 2 Data practices in digital data analysis : Digital methods: from challenges to bildung / Bernhard Rieder and Theo Röhle -- Data, culture and the ambivalence of algorithms / William Uricchio -- Unknowing algorithms: on transparency of unopenable black boxes / Johannes Passmann and Asher Boersma -- Social data APIs: origin, types, issues / Cornelius Puschmann and Julian Ausserhofer -- How to tell stories with networks: exploring the narrative affordances of graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy and Jonathan Gray -- Towards and reflexive digital data analysis / Karin va Es, Nicolás López Coombs and Thomas Boeschoten. Section 3 Research ethics : Get your hands dirty: emerging data practices as challenge for research integrity / Gerwin van Schie, Irene Westra and Mirko Tobias Schäfer -- Research ethics in context: decision-making in digital research / Annette Markham and Elizabeth Buchanan -- Datafication and discrimination / Koen Leurs and Tamara Shepherd. Section 4 Key ideas in big data research : The myth of big data / Nick Couldry -- Data point critique / Carolin Gerlitz -- Opposing the exceptionalism of the algorithm / Evgeny Morozov -- The need for a dialogue with technology / Mercedes Bunz. Tools -- Notes on contributors -- Index. |
| Record Nr. | UNISA-996379044803316 |
|
van Es Karin
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| Amsterdam University Press, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es
| The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es |
| Autore | van Es Karin |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam University Press, 2017 |
| Descrizione fisica | 1 online resource (269 pages) |
| Disciplina | 300 |
| Soggetto topico |
Big data - Moral and ethical aspects
Digital humanities - Research |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-04-077846-1
1-003-70576-6 1-04-078362-7 90-485-3101-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Acknowledgements -- Foreword -- Introduction: brave new world / Karin van Es and Mirko Tobias Schäfer. Section 1 : Studying culture through data : Humanistic data research: an encounter between epistemic traditions / Eef Masson -- Towards a "humanistic cinemetrics?" / Christian Gosvig Olesen -- Cultural analytics, social computing and digital humanities / Lev Manovich -- Case study: on Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur and Lev Manovich -- Foundations of digital methods: query design / Richard Rogers -- Case study: webs and streams - mapping issue networks using hyperlinks, hashtags and (potentially) embedded content / Natalia Sánchez-Querubín. Section 2 Data practices in digital data analysis : Digital methods: from challenges to bildung / Bernhard Rieder and Theo Röhle -- Data, culture and the ambivalence of algorithms / William Uricchio -- Unknowing algorithms: on transparency of unopenable black boxes / Johannes Passmann and Asher Boersma -- Social data APIs: origin, types, issues / Cornelius Puschmann and Julian Ausserhofer -- How to tell stories with networks: exploring the narrative affordances of graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy and Jonathan Gray -- Towards and reflexive digital data analysis / Karin va Es, Nicolás López Coombs and Thomas Boeschoten. Section 3 Research ethics : Get your hands dirty: emerging data practices as challenge for research integrity / Gerwin van Schie, Irene Westra and Mirko Tobias Schäfer -- Research ethics in context: decision-making in digital research / Annette Markham and Elizabeth Buchanan -- Datafication and discrimination / Koen Leurs and Tamara Shepherd. Section 4 Key ideas in big data research : The myth of big data / Nick Couldry -- Data point critique / Carolin Gerlitz -- Opposing the exceptionalism of the algorithm / Evgeny Morozov -- The need for a dialogue with technology / Mercedes Bunz. Tools -- Notes on contributors -- Index. |
| Record Nr. | UNINA-9910166053503321 |
|
van Es Karin
|
||
| Amsterdam University Press, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||