Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)

Data journalism is a consolidated specialization in the newsrooms of many of the world's media outlets. Despite this, little research has been conducted on the ethical principles followed in this field of journalism. Data journalism uses different types of software to find its stories by statis...

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Detalles Bibliográficos
Autores: Chaparro Domínguez, María De Los Ángeles, Díaz-Campo, Jesús
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/93938
Acceso en línea:https://hdl.handle.net/20.500.14352/93938
Access Level:acceso abierto
Palabra clave:070.11
Data journalism
Ethics
Transparency
Privacy
Verification
Content analysis
Data journalism awards
Etica periodística
Periodismo
5910.02 Medios de Comunicación de Masas
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spelling Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)Chaparro Domínguez, María De Los ÁngelesDíaz-Campo, Jesús070.11Data journalismEthicsTransparencyPrivacyVerificationContent analysisData journalism awardsEtica periodísticaPeriodismo5910.02 Medios de Comunicación de MasasData journalism is a consolidated specialization in the newsrooms of many of the world's media outlets. Despite this, little research has been conducted on the ethical principles followed in this field of journalism. Data journalism uses different types of software to find its stories by statistically analyzing large datasets. Our research examines the winning projects of the Data Journalism Awards, Sigma Awards, and Online Journalism Awards, the last in the data journalism category, between 2012 and 2020. Using qualitative content analysis, we analyzed these projects from a three-fold ethical perspective: verification and data analysis, transparency, and privacy. Our main findings show that the winning projects complied with verification and data analysis, which is a standard practice to cross-check data from various sources and contextualize them adequately. In contrast, transparency and privacy principles were followed to a lesser extent. In light of these results, we propose that future research should focus on the perceptions of data journalists and users regarding the ethical standards that these projects meet.Taylor & FrancisUniversidad Complutense de Madrid20212021-01-0120212021-01-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/93938reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/939382026-06-02T12:44:21Z
dc.title.none.fl_str_mv Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
title Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
spellingShingle Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
Chaparro Domínguez, María De Los Ángeles
070.11
Data journalism
Ethics
Transparency
Privacy
Verification
Content analysis
Data journalism awards
Etica periodística
Periodismo
5910.02 Medios de Comunicación de Masas
title_short Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
title_full Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
title_fullStr Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
title_full_unstemmed Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
title_sort Data journalism and ethics: best practices in the winning projects (DJA, OJA and Sigma awards)
dc.creator.none.fl_str_mv Chaparro Domínguez, María De Los Ángeles
Díaz-Campo, Jesús
author Chaparro Domínguez, María De Los Ángeles
author_facet Chaparro Domínguez, María De Los Ángeles
Díaz-Campo, Jesús
author_role author
author2 Díaz-Campo, Jesús
author2_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 070.11
Data journalism
Ethics
Transparency
Privacy
Verification
Content analysis
Data journalism awards
Etica periodística
Periodismo
5910.02 Medios de Comunicación de Masas
topic 070.11
Data journalism
Ethics
Transparency
Privacy
Verification
Content analysis
Data journalism awards
Etica periodística
Periodismo
5910.02 Medios de Comunicación de Masas
description Data journalism is a consolidated specialization in the newsrooms of many of the world's media outlets. Despite this, little research has been conducted on the ethical principles followed in this field of journalism. Data journalism uses different types of software to find its stories by statistically analyzing large datasets. Our research examines the winning projects of the Data Journalism Awards, Sigma Awards, and Online Journalism Awards, the last in the data journalism category, between 2012 and 2020. Using qualitative content analysis, we analyzed these projects from a three-fold ethical perspective: verification and data analysis, transparency, and privacy. Our main findings show that the winning projects complied with verification and data analysis, which is a standard practice to cross-check data from various sources and contextualize them adequately. In contrast, transparency and privacy principles were followed to a lesser extent. In light of these results, we propose that future research should focus on the perceptions of data journalists and users regarding the ethical standards that these projects meet.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/93938
url https://hdl.handle.net/20.500.14352/93938
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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