Democratic governance in an age of datafication: Lessons from mapping government discourses and practices

There is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and a...

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Main Author: Joanna Redden
Format: Article
Language:English
Published: SAGE Publishing 2018-11-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/2053951718809145
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spelling doaj-e11c75cc00f144229721d4905f9836962020-11-25T03:15:03ZengSAGE PublishingBig Data & Society2053-95172018-11-01510.1177/2053951718809145Democratic governance in an age of datafication: Lessons from mapping government discourses and practicesJoanna ReddenThere is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and accountability about uses of big data through a Government of Canada qualitative research case study. Adapting a method from critical cartographers, I employ counter-mapping to map government big data practices and internal discussions of risk and challenge. I do so by drawing on interviews and freedom of information requests. The analysis reveals that there are more concerns and risks than often publicly discussed and that there are significant areas of silence that need greater attention. The article underlines the need for our democratic systems to respond to our new datafied contexts by ensuring that our institutions make changes to better protect citizen rights, uphold democratic principles and ensure means for citizen intervention.https://doi.org/10.1177/2053951718809145
collection DOAJ
language English
format Article
sources DOAJ
author Joanna Redden
spellingShingle Joanna Redden
Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
Big Data & Society
author_facet Joanna Redden
author_sort Joanna Redden
title Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
title_short Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
title_full Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
title_fullStr Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
title_full_unstemmed Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
title_sort democratic governance in an age of datafication: lessons from mapping government discourses and practices
publisher SAGE Publishing
series Big Data & Society
issn 2053-9517
publishDate 2018-11-01
description There is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and accountability about uses of big data through a Government of Canada qualitative research case study. Adapting a method from critical cartographers, I employ counter-mapping to map government big data practices and internal discussions of risk and challenge. I do so by drawing on interviews and freedom of information requests. The analysis reveals that there are more concerns and risks than often publicly discussed and that there are significant areas of silence that need greater attention. The article underlines the need for our democratic systems to respond to our new datafied contexts by ensuring that our institutions make changes to better protect citizen rights, uphold democratic principles and ensure means for citizen intervention.
url https://doi.org/10.1177/2053951718809145
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