Journal article
Diversity in Big Data: A Review
Big data, v 5(2), pp 73-84
Jun 2017
PMID: 28632443
Abstract
Big data technology offers unprecedented opportunities to society as a whole and also to its individual members. At the same time, this technology poses significant risks to those it overlooks. In this article, we give an overview of recent technical work on diversity, particularly in selection tasks, discuss connections between diversity and fairness, and identify promising directions for future work that will position diversity as an important component of a data-responsible society. We argue that diversity should come to the forefront of our discourse, for reasons that are both ethical-to mitigate the risks of exclusion-and utilitarian, to enable more powerful, accurate, and engaging data analysis and use.
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Details
- Title
- Diversity in Big Data: A Review
- Creators
- Marina Drosou - University of IoanninaH V Jagadish - 2 Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, MichiganEvaggelia Pitoura - University of IoanninaJulia Stoyanovich - Drexel University
- Publication Details
- Big data, v 5(2), pp 73-84
- Publisher
- Mary Ann Liebert
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000403939100002
- Scopus ID
- 2-s2.0-85021157002
- Other Identifier
- 991021893413804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods