Copyright and Artificial Intelligence:: a bibliometric analysis
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Data de Publicação: | 2024 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Brazilian Journal of Information Science |
Texto Completo: | https://revistas.marilia.unesp.br/index.php/bjis/article/view/15291 |
Resumo: | The aim of the research is to map and analyze the scientific production concerning Copyright and Artificial Intelligence, aiming to comprehend how research in this field is evolving across different regions of the world. This research is designed as descriptive-exploratory with a quantitative approach. The employed method was the Knowledge Development Process-constructivist. Using a systematic approach, 40 articles published between 2017 and 2022 were examined, collected from the Scopus and Web of Science databases. The data were analyzed in the context of bibliometric laws. The findings suggest an increasing trend in publications on Copyright and Artificial Intelligence in recent years, indicating an upward curve in scientific production. The most addressed themes, significant authors, and notable institutions in this context were identified. Furthermore, the distribution of authors concerning their productivity, relevance, and impact was detailed. This bibliometric analysis contributes to understanding the intersection between Copyright and Artificial Intelligence, providing a detailed view of scientific production dynamics and identifying trends for future research in this field. |
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Copyright and Artificial Intelligence:: a bibliometric analysisDireitos Autorais e Inteligência Artificial: uma análise bibliométricaCopyrightartificial intelligenceBibliometric AnalysisDireitos AutoraisInteligência ArtificialAnálise BibliométricaThe aim of the research is to map and analyze the scientific production concerning Copyright and Artificial Intelligence, aiming to comprehend how research in this field is evolving across different regions of the world. This research is designed as descriptive-exploratory with a quantitative approach. The employed method was the Knowledge Development Process-constructivist. Using a systematic approach, 40 articles published between 2017 and 2022 were examined, collected from the Scopus and Web of Science databases. The data were analyzed in the context of bibliometric laws. The findings suggest an increasing trend in publications on Copyright and Artificial Intelligence in recent years, indicating an upward curve in scientific production. The most addressed themes, significant authors, and notable institutions in this context were identified. Furthermore, the distribution of authors concerning their productivity, relevance, and impact was detailed. This bibliometric analysis contributes to understanding the intersection between Copyright and Artificial Intelligence, providing a detailed view of scientific production dynamics and identifying trends for future research in this field.O objetivo da pesquisa é mapear e analisar a produção científica sobre Direitos Autorais e Inteligência Artificial, a fim de compreender como as pesquisas nessa área estão se desenvolvendo em diferentes partes do mundo. Esta pesquisa configura-se como descritiva-exploratória, com abordagem quantitativa. O método empregado foi o Knowledge Development Process-constructivist. Utilizando uma abordagem sistemática, foram examinados 40 artigos entre 2017 e 2022, coletados nas bases Scopus e Web of Science. Os dados foram analisados à luz das leis bibliométricas. Os resultados apontam para uma tendência de aumento nas publicações sobre Direitos Autorais e Inteligência Artificial nos últimos anos, revelando uma curva ascendente na produção científica. Foram identificados os temas mais abordados, autores mais relevantes e as instituições de destaque nesse contexto. Além disso, detalhou-se a distribuição dos autores em relação a sua produtividade, relevância e impacto. Essa análise bibliométrica contribui para a compreensão da interseção entre Direitos Autorais e Inteligência Artificial, oferecendo uma visão detalhada das dinâmicas de produção científica e identificando tendências para futuras pesquisas nesse campo.Faculdade de Filosofia e Ciências - UNESP-Marília2024-02-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/1529110.36311/1981-1640.2024.v18.e024007Brazilian Journal of Information Science: research trends; v. 18 (2024): publicação contínua; e024007Brazilian Journal of Information Science: Research Trends; Vol. 18 (2024): Continuous publishing; e024007Brazilian Journal of Information Science: Research Trends; Vol. 18 (2024): Publicación continua; e0240071981-16401981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/15291/15982https://revistas.marilia.unesp.br/index.php/bjis/article/view/15291/15983Copyright (c) 2024 Catherine Juglair Nogari Valente, Rejane Sartorihttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessValente, Catherine Juglair Nogari Sartori, Rejane2024-02-09T14:46:23Zoai:ojs.revistas.marilia.unesp.br:article/15291Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2024-02-09T14:46:23Brazilian Journal of Information Science - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Copyright and Artificial Intelligence:: a bibliometric analysis Direitos Autorais e Inteligência Artificial: uma análise bibliométrica |
title |
Copyright and Artificial Intelligence:: a bibliometric analysis |
spellingShingle |
Copyright and Artificial Intelligence:: a bibliometric analysis Valente, Catherine Juglair Nogari Copyright artificial intelligence Bibliometric Analysis Direitos Autorais Inteligência Artificial Análise Bibliométrica |
title_short |
Copyright and Artificial Intelligence:: a bibliometric analysis |
title_full |
Copyright and Artificial Intelligence:: a bibliometric analysis |
title_fullStr |
Copyright and Artificial Intelligence:: a bibliometric analysis |
title_full_unstemmed |
Copyright and Artificial Intelligence:: a bibliometric analysis |
title_sort |
Copyright and Artificial Intelligence:: a bibliometric analysis |
author |
Valente, Catherine Juglair Nogari |
author_facet |
Valente, Catherine Juglair Nogari Sartori, Rejane |
author_role |
author |
author2 |
Sartori, Rejane |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Valente, Catherine Juglair Nogari Sartori, Rejane |
dc.subject.por.fl_str_mv |
Copyright artificial intelligence Bibliometric Analysis Direitos Autorais Inteligência Artificial Análise Bibliométrica |
topic |
Copyright artificial intelligence Bibliometric Analysis Direitos Autorais Inteligência Artificial Análise Bibliométrica |
description |
The aim of the research is to map and analyze the scientific production concerning Copyright and Artificial Intelligence, aiming to comprehend how research in this field is evolving across different regions of the world. This research is designed as descriptive-exploratory with a quantitative approach. The employed method was the Knowledge Development Process-constructivist. Using a systematic approach, 40 articles published between 2017 and 2022 were examined, collected from the Scopus and Web of Science databases. The data were analyzed in the context of bibliometric laws. The findings suggest an increasing trend in publications on Copyright and Artificial Intelligence in recent years, indicating an upward curve in scientific production. The most addressed themes, significant authors, and notable institutions in this context were identified. Furthermore, the distribution of authors concerning their productivity, relevance, and impact was detailed. This bibliometric analysis contributes to understanding the intersection between Copyright and Artificial Intelligence, providing a detailed view of scientific production dynamics and identifying trends for future research in this field. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02-08 |
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/15291 10.36311/1981-1640.2024.v18.e024007 |
url |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/15291 |
identifier_str_mv |
10.36311/1981-1640.2024.v18.e024007 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/15291/15982 https://revistas.marilia.unesp.br/index.php/bjis/article/view/15291/15983 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Catherine Juglair Nogari Valente, Rejane Sartori https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Catherine Juglair Nogari Valente, Rejane Sartori https://creativecommons.org/licenses/by-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências - UNESP-Marília |
publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências - UNESP-Marília |
dc.source.none.fl_str_mv |
Brazilian Journal of Information Science: research trends; v. 18 (2024): publicação contínua; e024007 Brazilian Journal of Information Science: Research Trends; Vol. 18 (2024): Continuous publishing; e024007 Brazilian Journal of Information Science: Research Trends; Vol. 18 (2024): Publicación continua; e024007 1981-1640 1981-1640 reponame:Brazilian Journal of Information Science instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (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 (UNESP) |
repository.mail.fl_str_mv |
brajis.marilia@unesp.br|| |
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1797069097112961024 |