Conference Paper

Towards Re-Orienting the Big Data Rhetoric

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2016

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Association for Computing Machinery

Abstract

Data analytics and BI (business intelligence) systems are the most prominent user-facing manifestation of 'big data' and the related computational turn in thinking within organizations. However, the big data mythologies-specifically that data can offer more accurate, objective and truthful forms of intelligence and knowledge-impact, reinforce, and reproduce certain epistemological biases. In my research, I study these big data technologies in human services related contexts to examine knowledge claims and the strengths and limitations of big data.

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Verma, Nitya (2016): Towards Re-Orienting the Big Data Rhetoric. Proceedings of the 2016 ACM International Conference on Supporting Group Work. DOI: 10.1145/2957276.2997027. Association for Computing Machinery. pp. 505–508. Sanibel Island, Florida, USA

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