Critiquing Big Data: Politics, Ethics, Epistemology

By Kate Crawford, Kate M. Miltner, Mary L. Gray. 2014

162 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Critical data studies: An introduction (2016, background): “Data, along with its sciences and infrastructures, are informed by specific histories, ideologies, and philosophies that tend to remain hidden, though there have been recent calls for inquiry into these domains (Beer, 2016; boyd and Crawford, 2012; Crawford et al., 2014; Floridi, 2011; Kitchin, 2014”
From data fetishism to quantifying selves: Self-tracking practices and the other values of data (2017, background): “…2013), critical studies have begun to emerge that point out that the data sets that make up Big Data are always creations of human design, and thus are always implicated in social relations and power dynamics (Andrejevic, 2014; boyd and Crawford, 2012; Crawford et al., 2014; Van Dijk, 2014).”
Social Bias in Elicited Natural Language Inferences (2017, background): “This “big data” approach popularly connotes objectivity; however, as a cultural, political, and economic phenomenon in addition to a technological one, big data carries subjective aspects (Crawford et al., 2014).”
The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts (2015, background): “One is a tendency, particularly in mass media and industry, to view Big Data as ‘objective’(Crawford 2013; Crawford et al. 2014) or as revealing objective truths without the need for human interpretation.”
Big Data in food and agriculture (2016, background): “Critical social scientists have suggested that Big Data cannot be treated as a technical accomplishment separable from the social, and in particular from questions of justice and ethics (Busch, 2014; Couldry and Turow, 2014; Crawford et al., 2014; Elmer et al., 2015; Kitchin, 2014).”
What Communication Can Contribute to Data Studies: Three Lenses on Communication and Data (2017, background): “This article responds to what Crawford, Miltner, and Gray (2014) describe as a need to a discipline a little closer to discuss how communication may lead in the area of data studies.”