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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Format: | Article |
Language: | English |
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Pontificia Universidad Católica de Chile
2021-09-01
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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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first_indexed | 2024-04-25T01:26:07Z |
format | Article |
id | doaj.art-c0cd16b743d84eb2b9b67156203cc19d |
institution | Directory Open Access Journal |
issn | 0718-8447 2452-4298 |
language | English |
last_indexed | 2024-04-25T01:26:07Z |
publishDate | 2021-09-01 |
publisher | Pontificia Universidad Católica de Chile |
record_format | Article |
series | Diseña |
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 |
work_keys_str_mv | AT renatobernasconi editorialagainstsubjectdataficationthroughantioppressivedatapractices |