Editorial: Against Subject Datafication through Anti-Oppressive Data Practices

This editorial participates in the discussion proposed by the guest editors of this issue by emphasizing that researchers who produce, manipulate, and interpret datasets will be contributing to the entrenchment of an oppressive regime of power-knowledge, if they do not begin their work by reflecting...

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Main Author: Renato Bernasconi
Format: Article
Language:English
Published: Pontificia Universidad Católica de Chile 2021-09-01
Series:Diseña
Online Access:https://revistadelaconstruccion.uc.cl/index.php/Disena/article/view/41549
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author Renato Bernasconi
author_facet Renato Bernasconi
author_sort Renato Bernasconi
collection DOAJ
description This editorial participates in the discussion proposed by the guest editors of this issue by emphasizing that researchers who produce, manipulate, and interpret datasets will be contributing to the entrenchment of an oppressive regime of power-knowledge, if they do not begin their work by reflecting on the dynamics of domination and exploitation inherent in data, just as they will only reinforce inequalities and injustices if they do not question, by extension, the illusions of epistemic purity of datafication. Based on a brief literature review, the editorial highlights three useful strategies for transforming data into an anti-oppressive knowledge-power system: connecting data to the context in which it is produced, as stated by D’Ignazio and Klein; making data mining a people-centered process, as proposed by Leurs and Shepherd; and using data to produce embodied stories, as suggested by Leurs.
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spelling doaj.art-c0cd16b743d84eb2b9b67156203cc19d2024-03-08T21:33:12ZengPontificia Universidad Católica de ChileDiseña0718-84472452-42982021-09-0119Editorial: Against Subject Datafication through Anti-Oppressive Data PracticesRenato Bernasconi0Pontificia Universidad Católica de Chile, School of DesignThis editorial participates in the discussion proposed by the guest editors of this issue by emphasizing that researchers who produce, manipulate, and interpret datasets will be contributing to the entrenchment of an oppressive regime of power-knowledge, if they do not begin their work by reflecting on the dynamics of domination and exploitation inherent in data, just as they will only reinforce inequalities and injustices if they do not question, by extension, the illusions of epistemic purity of datafication. Based on a brief literature review, the editorial highlights three useful strategies for transforming data into an anti-oppressive knowledge-power system: connecting data to the context in which it is produced, as stated by D’Ignazio and Klein; making data mining a people-centered process, as proposed by Leurs and Shepherd; and using data to produce embodied stories, as suggested by Leurs. https://revistadelaconstruccion.uc.cl/index.php/Disena/article/view/41549
spellingShingle Renato Bernasconi
Editorial: Against Subject Datafication through Anti-Oppressive Data Practices
Diseña
title Editorial: Against Subject Datafication through Anti-Oppressive Data Practices
title_full Editorial: Against Subject Datafication through Anti-Oppressive Data Practices
title_fullStr Editorial: Against Subject Datafication through Anti-Oppressive Data Practices
title_full_unstemmed Editorial: Against Subject Datafication through Anti-Oppressive Data Practices
title_short Editorial: Against Subject Datafication through Anti-Oppressive Data Practices
title_sort editorial against subject datafication through anti oppressive data practices
url https://revistadelaconstruccion.uc.cl/index.php/Disena/article/view/41549
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