Critical data studies: An introduction
By Andrew Iliadis, Federica Russo. 2016
373 citations recorded by the source corpus.
Critical Data Studies (CDS) explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the many assumptions about Big Data that permeate contemporary literature on information and society by locating instances where Big Data may be naively taken to denote objective and transparent informational entities. In this introduction to the Big Data & Society CDS special theme, we briefly describe CDS work, its orientations, and principles.
Subfields: Information Systems and Management, Management Science and Operations Research, Safety Research, Social Sciences & Humanities
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In Safety Research
In Social Sciences & Humanities
Citations in the corpus
- Engaging Solidarity in Data Collection Practices for Community Health (2018, background): “have formed the focus of the emerging field of critical data studies [32].”