The application of artificial intelligence to journalism: an analysis of academic production

Journalism has been able to adapt quickly to technological innovation, especially in recent years. The application of algorithms and artificial intelligence (AI) to this discipline is a phenomenon that has developed rapidly in a very short time. This is therefore a research area that, in spite of it...

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Detalles Bibliográficos
Autores: Parratt Fernández, Sonia, Mera Fernández, María Montserrat, Mayoral Sánchez, Francisco Javier
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:20.500.14352/112081
Acceso en línea:https://hdl.handle.net/20.500.14352/112081
Access Level:acceso abierto
Palabra clave:070
004.8
Artificial intelligence
AI
Journalism
Review article
Media
Algorithms
New information technologies
NIT
ICT
Theory
Methodologies
Data journalism
Robot journalism
Fact-checking
Ciencias Sociales
Periodismo
Inteligencia artificial (Informática)
63 Sociología
1203.04 Inteligencia Artificial
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oai_identifier_str oai:docta.ucm.es:20.500.14352/112081
network_acronym_str ES
network_name_str España
repository_id_str
spelling The application of artificial intelligence to journalism: an analysis of academic productionParratt Fernández, SoniaMera Fernández, María MontserratMayoral Sánchez, Francisco Javier070004.8Artificial intelligenceAIJournalismReview articleMediaAlgorithmsNew information technologiesNITICTTheoryMethodologiesData journalismRobot journalismFact-checkingCiencias SocialesPeriodismoInteligencia artificial (Informática)63 Sociología1203.04 Inteligencia ArtificialJournalism has been able to adapt quickly to technological innovation, especially in recent years. The application of algorithms and artificial intelligence (AI) to this discipline is a phenomenon that has developed rapidly in a very short time. This is therefore a research area that, in spite of its short life, deserves special interest. The objective of this review article is to map and analyze the global scientific production on this topic and to identify which countries are most focused on this issue, which areas are studied most and using which methodological approaches, how and where it is evolving, and the gaps present in this research. The review of 358 texts confirms the considerable attention from academia during the last decade, especially between 2015 and 2020, and that the USA is, by far, the country with most publications on this subject. Most of the published works are research articles carried out, above all, using qualitative methodologies. The areas that have attracted the most interest to date are data journalism, robot writing, and news verification. As is to be expected in a developing discipline, others such as the review of the role of the journalist, the personalization of content, or the incorporation of AI into teaching of journalism have not yet been sufficiently explored but surely will be in the near future.EPI SCPUniversidad Complutense de Madrid20212021-06-1020212021-06-10journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/112081reponame: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:20.500.14352/1120812026-06-02T12:44:21Z
dc.title.none.fl_str_mv The application of artificial intelligence to journalism: an analysis of academic production
title The application of artificial intelligence to journalism: an analysis of academic production
spellingShingle The application of artificial intelligence to journalism: an analysis of academic production
Parratt Fernández, Sonia
070
004.8
Artificial intelligence
AI
Journalism
Review article
Media
Algorithms
New information technologies
NIT
ICT
Theory
Methodologies
Data journalism
Robot journalism
Fact-checking
Ciencias Sociales
Periodismo
Inteligencia artificial (Informática)
63 Sociología
1203.04 Inteligencia Artificial
title_short The application of artificial intelligence to journalism: an analysis of academic production
title_full The application of artificial intelligence to journalism: an analysis of academic production
title_fullStr The application of artificial intelligence to journalism: an analysis of academic production
title_full_unstemmed The application of artificial intelligence to journalism: an analysis of academic production
title_sort The application of artificial intelligence to journalism: an analysis of academic production
dc.creator.none.fl_str_mv Parratt Fernández, Sonia
Mera Fernández, María Montserrat
Mayoral Sánchez, Francisco Javier
author Parratt Fernández, Sonia
author_facet Parratt Fernández, Sonia
Mera Fernández, María Montserrat
Mayoral Sánchez, Francisco Javier
author_role author
author2 Mera Fernández, María Montserrat
Mayoral Sánchez, Francisco Javier
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 070
004.8
Artificial intelligence
AI
Journalism
Review article
Media
Algorithms
New information technologies
NIT
ICT
Theory
Methodologies
Data journalism
Robot journalism
Fact-checking
Ciencias Sociales
Periodismo
Inteligencia artificial (Informática)
63 Sociología
1203.04 Inteligencia Artificial
topic 070
004.8
Artificial intelligence
AI
Journalism
Review article
Media
Algorithms
New information technologies
NIT
ICT
Theory
Methodologies
Data journalism
Robot journalism
Fact-checking
Ciencias Sociales
Periodismo
Inteligencia artificial (Informática)
63 Sociología
1203.04 Inteligencia Artificial
description Journalism has been able to adapt quickly to technological innovation, especially in recent years. The application of algorithms and artificial intelligence (AI) to this discipline is a phenomenon that has developed rapidly in a very short time. This is therefore a research area that, in spite of its short life, deserves special interest. The objective of this review article is to map and analyze the global scientific production on this topic and to identify which countries are most focused on this issue, which areas are studied most and using which methodological approaches, how and where it is evolving, and the gaps present in this research. The review of 358 texts confirms the considerable attention from academia during the last decade, especially between 2015 and 2020, and that the USA is, by far, the country with most publications on this subject. Most of the published works are research articles carried out, above all, using qualitative methodologies. The areas that have attracted the most interest to date are data journalism, robot writing, and news verification. As is to be expected in a developing discipline, others such as the review of the role of the journalist, the personalization of content, or the incorporation of AI into teaching of journalism have not yet been sufficiently explored but surely will be in the near future.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-06-10
2021
2021-06-10
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/112081
url https://hdl.handle.net/20.500.14352/112081
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 EPI SCP
publisher.none.fl_str_mv EPI SCP
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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score 15,811543

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