Rage against the machine learning: a critical approach to the algorithmic mediation of information
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Information Science |
Texto Completo: | https://revistas.marilia.unesp.br/index.php/bjis/article/view/9934 |
Resumo: | Before being an exaltation to Luddites (the English workers from the 19th century who actually destroyed textile machinery as a form of protest) or to some sort of technophobic movement, the provocative pun contained in the title of this article carries a methodological proposal, in the field of critical theory of information, to build a diagnosis about the algorithmic filtering of information, which reveals itself to be a structural characteristic of the new regime of information that brings challenges to human emancipation. Our analysis starts from the concept of mediation to problematize the belief, widespread in much of contemporary society, that the use of machine learning and deep learning techniques for algorithmic filtering of big data will provide answers and solutions to all our questions and problems. We will argue that the algorithmic mediation of information on the internet, which is responsible for deciding which information we will have access to and which will remain invisible, is operated according to the economic interests of the companies that control the platforms we visit on the internet, acting as obstacle to the prospects of informational diversity and autonomy that are fundamental in free and democratic societies. |
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Brazilian Journal of Information Science |
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Rage against the machine learning: a critical approach to the algorithmic mediation of informationCritical theory of informationRegime of informationAlgorithimic fliteringMachine LearningMediationBefore being an exaltation to Luddites (the English workers from the 19th century who actually destroyed textile machinery as a form of protest) or to some sort of technophobic movement, the provocative pun contained in the title of this article carries a methodological proposal, in the field of critical theory of information, to build a diagnosis about the algorithmic filtering of information, which reveals itself to be a structural characteristic of the new regime of information that brings challenges to human emancipation. Our analysis starts from the concept of mediation to problematize the belief, widespread in much of contemporary society, that the use of machine learning and deep learning techniques for algorithmic filtering of big data will provide answers and solutions to all our questions and problems. We will argue that the algorithmic mediation of information on the internet, which is responsible for deciding which information we will have access to and which will remain invisible, is operated according to the economic interests of the companies that control the platforms we visit on the internet, acting as obstacle to the prospects of informational diversity and autonomy that are fundamental in free and democratic societies.Faculdade de Filosofia e Ciências2020-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/993410.36311/1981-1640.2020.v14n2.02.p6Brazilian Journal of Information Science: Research Trends; Vol. 14 No. 2 - abr-Jun (2020); 06-23Brazilian Journal of Information Science: Research Trends; Vol. 14 Núm. 2 - abr-Jun (2020); 06-23Brazilian Journal of Information Science: research trends; v. 14 n. 2 - abr-Jun (2020); 06-231981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPenghttps://revistas.marilia.unesp.br/index.php/bjis/article/view/9934/10052Copyright (c) 2020 Arthur Coelho Bezerra, Marco Antônio de Almeidahttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessBezerra, Arthur CoelhoAlmeida, Marco Antônio de2022-12-23T12:58:54Zoai:ojs.revistas.marilia.unesp.br:article/9934Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2022-12-23T12:58:54Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false |
dc.title.none.fl_str_mv |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
title |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
spellingShingle |
Rage against the machine learning: a critical approach to the algorithmic mediation of information Bezerra, Arthur Coelho Critical theory of information Regime of information Algorithimic flitering Machine Learning Mediation |
title_short |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
title_full |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
title_fullStr |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
title_full_unstemmed |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
title_sort |
Rage against the machine learning: a critical approach to the algorithmic mediation of information |
author |
Bezerra, Arthur Coelho |
author_facet |
Bezerra, Arthur Coelho Almeida, Marco Antônio de |
author_role |
author |
author2 |
Almeida, Marco Antônio de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Bezerra, Arthur Coelho Almeida, Marco Antônio de |
dc.subject.por.fl_str_mv |
Critical theory of information Regime of information Algorithimic flitering Machine Learning Mediation |
topic |
Critical theory of information Regime of information Algorithimic flitering Machine Learning Mediation |
description |
Before being an exaltation to Luddites (the English workers from the 19th century who actually destroyed textile machinery as a form of protest) or to some sort of technophobic movement, the provocative pun contained in the title of this article carries a methodological proposal, in the field of critical theory of information, to build a diagnosis about the algorithmic filtering of information, which reveals itself to be a structural characteristic of the new regime of information that brings challenges to human emancipation. Our analysis starts from the concept of mediation to problematize the belief, widespread in much of contemporary society, that the use of machine learning and deep learning techniques for algorithmic filtering of big data will provide answers and solutions to all our questions and problems. We will argue that the algorithmic mediation of information on the internet, which is responsible for deciding which information we will have access to and which will remain invisible, is operated according to the economic interests of the companies that control the platforms we visit on the internet, acting as obstacle to the prospects of informational diversity and autonomy that are fundamental in free and democratic societies. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9934 10.36311/1981-1640.2020.v14n2.02.p6 |
url |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9934 |
identifier_str_mv |
10.36311/1981-1640.2020.v14n2.02.p6 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9934/10052 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Arthur Coelho Bezerra, Marco Antônio de Almeida https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Arthur Coelho Bezerra, Marco Antônio de Almeida https://creativecommons.org/licenses/by-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
dc.source.none.fl_str_mv |
Brazilian Journal of Information Science: Research Trends; Vol. 14 No. 2 - abr-Jun (2020); 06-23 Brazilian Journal of Information Science: Research Trends; Vol. 14 Núm. 2 - abr-Jun (2020); 06-23 Brazilian Journal of Information Science: research trends; v. 14 n. 2 - abr-Jun (2020); 06-23 1981-1640 reponame:Brazilian Journal of Information Science instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Brazilian Journal of Information Science |
collection |
Brazilian Journal of Information Science |
repository.name.fl_str_mv |
Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
repository.mail.fl_str_mv |
brajis.marilia@unesp.br|| |
_version_ |
1797069098869325824 |