Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022

This article presents the data obtained from a Systematic Literature Review (SLR) on the use of metaverse and extended technologies for immersive journalism [1]. Boolean operators, both in English and Spanish, were used to retrieve scientific literature using Publish or Perish 8 software on Scopus,...

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Detalles Bibliográficos
Autores: Sanchez-Acedo, Alberto, Carbonell-Alcocer, Alejandro, Gertrudix, Manuel, Rubio-Tamayo, Jose Luis
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/30913
Acceso en línea:https://hdl.handle.net/10115/30913
Access Level:acceso abierto
Palabra clave:Data analysis
Systematic literature review (SLR)
DESLOCIS framework
PRISMA statement
Immersive technologies
Metaverse
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spelling Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022Sanchez-Acedo, AlbertoCarbonell-Alcocer, AlejandroGertrudix, ManuelRubio-Tamayo, Jose LuisData analysisSystematic literature review (SLR)DESLOCIS frameworkPRISMA statementImmersive technologiesMetaverseThis article presents the data obtained from a Systematic Literature Review (SLR) on the use of metaverse and extended technologies for immersive journalism [1]. Boolean operators, both in English and Spanish, were used to retrieve scientific literature using Publish or Perish 8 software on Scopus, Web of Science and Google Scholar between 2017 and 2022. After finding all the scientific literature, a methodological process was carried out using selection criteria and following the PRISMA model to obtain a total sample of 61 scientific articles. The DESLOCIS framework was used for the evaluation and quantitative and qualitative analysis of the retrieved data. The first dataset [2] contains the metadata of the retrieved publications according to the phases of the PRISMA statement. The second dataset [3] contains the characteristics of these publications according to the DESLOCIS framework. The data offer the possibility to develop new longitudinal studies and meta-analyzes in the field of immersive journalism.Elsevier202420242024info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10115/30913reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlosinstname:Universidad Rey Juan CarlosInglésAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:burjcdigital.urjc.es:10115/309132026-06-24T12:48:17Z
dc.title.none.fl_str_mv Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
title Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
spellingShingle Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
Sanchez-Acedo, Alberto
Data analysis
Systematic literature review (SLR)
DESLOCIS framework
PRISMA statement
Immersive technologies
Metaverse
title_short Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
title_full Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
title_fullStr Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
title_full_unstemmed Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
title_sort Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022
dc.creator.none.fl_str_mv Sanchez-Acedo, Alberto
Carbonell-Alcocer, Alejandro
Gertrudix, Manuel
Rubio-Tamayo, Jose Luis
author Sanchez-Acedo, Alberto
author_facet Sanchez-Acedo, Alberto
Carbonell-Alcocer, Alejandro
Gertrudix, Manuel
Rubio-Tamayo, Jose Luis
author_role author
author2 Carbonell-Alcocer, Alejandro
Gertrudix, Manuel
Rubio-Tamayo, Jose Luis
author2_role author
author
author
dc.subject.none.fl_str_mv Data analysis
Systematic literature review (SLR)
DESLOCIS framework
PRISMA statement
Immersive technologies
Metaverse
topic Data analysis
Systematic literature review (SLR)
DESLOCIS framework
PRISMA statement
Immersive technologies
Metaverse
description This article presents the data obtained from a Systematic Literature Review (SLR) on the use of metaverse and extended technologies for immersive journalism [1]. Boolean operators, both in English and Spanish, were used to retrieve scientific literature using Publish or Perish 8 software on Scopus, Web of Science and Google Scholar between 2017 and 2022. After finding all the scientific literature, a methodological process was carried out using selection criteria and following the PRISMA model to obtain a total sample of 61 scientific articles. The DESLOCIS framework was used for the evaluation and quantitative and qualitative analysis of the retrieved data. The first dataset [2] contains the metadata of the retrieved publications according to the phases of the PRISMA statement. The second dataset [3] contains the characteristics of these publications according to the DESLOCIS framework. The data offer the possibility to develop new longitudinal studies and meta-analyzes in the field of immersive journalism.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10115/30913
url https://hdl.handle.net/10115/30913
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
instname:Universidad Rey Juan Carlos
instname_str Universidad Rey Juan Carlos
reponame_str BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
collection BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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