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Most big data is social data : the analytics need serious interrogation
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Uprichard, Emma (2015) Most big data is social data : the analytics need serious interrogation. [Online]. (http://blogs.lse.ac.uk/impactofsocialsciences/2015...). UK: London School of Economics.
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WRAP_blogs.lse.ac.uk_Uprichard_.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution. Download (262Kb) | Preview |
Official URL: http://blogs.lse.ac.uk/impactofsocialsciences/2015...
Abstract
In the final interview in our Philosophy of Data Science series, Emma Uprichard, in conversation with Mark Carrigan, emphasises that big data has serious repercussions to the kinds of social futures we are shaping and those that are supporting big data developments need to be held accountable. This means we should also take stock of the methodological harm present in many big data practices. It doesn’t matter how much or how good our data is if the approach to modelling social systems is backwards.
Item Type: | Digital Scholarly Resource | ||||||
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Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | ||||||
Library of Congress Subject Headings (LCSH): | Big data, Social media | ||||||
Publisher: | London School of Economics | ||||||
Place of Publication: | UK | ||||||
Official Date: | 12 February 2015 | ||||||
Dates: |
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Publication Status: | Published | ||||||
Media of Output (format): | HTML | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 28 July 2016 | ||||||
Date of first compliant Open Access: | 28 July 2016 | ||||||
Contributors: |
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