The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Critical Data Studies: A dialog on data and space
Open accessAbstract
In light of recent technological innovations and discourses around data and algorithmic analytics, scholars of many stripes are attempting to develop critical agendas and responses to these developments (boyd and Crawford 2012). In this mutual interview, three scholars discuss the stakes, ideas, responsibilities, and possibilities of critical data studies. The resulting dialog seeks to explore what kinds of critical approaches to these topics, in theory and practice, could open and make available such approaches to a broader audience.
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Cites
Simians, Cyborgs and Women: The Reinvention of Nature
McNeil, M., & Haraway, D. J. (1992) · Feminist Review · doi:10.2307/1395245 · Cited by 6,794
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479
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Green, P. A., & Haraway, D. J. (1992) · Contemporary Sociology · doi:10.2307/2076334 · Cited by 5,455
Haggerty, K. D., & Ericson, R. V. (2000) · The British Journal of Sociology · doi:10.1080/00071310020015280 · Cited by 2,244
The Rise of Statistical Thinking, 1820–1900
Porter, T. M. (1986) · Princeton University Press eBooks · doi:10.1515/9780691210520 · Cited by 1,409
Ground truth: The social implications of geographic information systems
Beesley, C. (1996) · International Journal of Information Management · doi:10.1016/0268-4012(96)82860-x · Cited by 691
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Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards
Kitchin, R., Lauriault, T. P., & McArdle, G. (2015) · Regional Studies, Regional Science · doi:10.1080/21681376.2014.983149 · Cited by 596
The Rise of Statistical Thinking, 1820-1900
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Social physics: how good ideas spread--the lessons from a new science
(2014) · Choice Reviews Online · doi:10.5860/choice.52-0805 · Cited by 561
Cited by
When data is capital: Datafication, accumulation, and extraction
Sadowski, J. (2019) · Big Data & Society · doi:10.1177/2053951718820549 · Cited by 1,057
Debating big data: a literature review on realizing value from big data
Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, F. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.07.003 · Cited by 880
What is data justice? The case for connecting digital rights and freedoms globally
Taylor, L. (2017) · Big Data & Society · doi:10.1177/2053951717736335 · Cited by 802
Self-citationEthical Machine Learning in Healthcare
Chen, I. Y., Pierson, E., Rose, S., Joshi, S., Ferryman, K., & Ghassemi, M. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-092820-114757 · Cited by 645
Waters, F., Chiu, V., Atkinson, A., & Blom, J. D. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00303 · Cited by 165
Metadata
- Authors
- Dalton, C. M., Taylor, L., & Thatcher (alphabetical), J.
- Venue
- Big Data & Society
- Publisher
- SAGE Publications
- Published
- 2016-06
- Volume
- 3
- Issue
- 1
- ISSN
- 2053-9517 (ISSN-L)
- OpenAlex
- W3122925257
- Cited by
- 264
- References
- 37
- FWCI
- 63.97
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.