Product details:
| ISBN13: | 9781350239661 |
| ISBN10: | 1350239666 |
| Binding: | Paperback |
| No. of pages: | 194 pages |
| Size: | 234x156 mm |
| Language: | English |
| Illustrations: | 10 bw illus |
| 673 |
Category:
Data management in computer systems
Database management softwares
Data Analysis
Digital signal, audio and image processing
Internet in general
Media and communication science in general
Data management in computer systems (charity campaign)
Database management softwares (charity campaign)
Data Analysis (charity campaign)
Digital signal, audio and image processing (charity campaign)
Internet in general (charity campaign)
Media and communication science in general (charity campaign)
The Trouble With Big Data
How Datafication Displaces Cultural Practices
Publisher: Bloomsbury Academic
Date of Publication: 27 July 2023
Number of Volumes: Paperback
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Long description:
Choice Outstanding Academic Title 2023
This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.
The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.
This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.
The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.
Table of Contents:
Introduction
Chapter 1: Data and Language
Chapter 2: Data and Sensemaking
Chapter 3: Data and Invisibility
Chapter 4: Big Data and the Abyss of Aggregation
Chapter 5: Data and Power
Conclusion
Chapter 1: Data and Language
Chapter 2: Data and Sensemaking
Chapter 3: Data and Invisibility
Chapter 4: Big Data and the Abyss of Aggregation
Chapter 5: Data and Power
Conclusion
