Artificial Intelligence and Scientific Communication

a systematic review

Authors

DOI:

https://doi.org/10.36311/1981-1640.2024.v18.e024004

Keywords:

Scientific Communication, Artificial Intelligence, Bibliometric Research, Thematic Analysis, Co-authorship

Abstract

This study aimed to investigate the use of Artificial Intelligence (AI) in academic production in the field of scientific communication. To achieve this objective, we conducted a Systematic Literature Review (SLR) in which we searched the Web of Science, Scopus, and Dimensions databases using key expressions related to Artificial Intelligence and Scientific Communication. In a complementary way, bibliometric analysis was also used. The results revealed a significant growth in scientific production on AI since 2017, with an emphasis on the application of this technology in scientific communication and social media. The analysis of thematic evolution showed that topics related to AI and data mining played an influential role in the development and consolidation of the field of scientific communication over the past two decades. Additionally, the analysis of geographic distribution revealed an imbalance in academic production networks in these two areas of study, with a higher concentration of activity in the global north. Through co-citation analysis, we were able to infer a positive correlation between highly relevant topics and the number of citations received. These findings provide valuable insights for the academic community, encouraging the adoption of strategies that promote global collaboration and the development of comprehensive research on the impact and applications of AI in scientific communication.

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Author Biographies

Marllus de Melo Lustosa, Federal University of Ceará

Mestre em Políticas Públicas e Gestão da Educação Superior pela Universidade Federal do Ceará (UFC), especialista em Gestão de Projetos em TI pela Faculdade Internacional Signorelli (FISIG/RJ) e Bacharel em Ciência da Computação pela Universidade Federal do Piauí (UFPI). É analista de TI na Divisão de Redes de Computadores da Superintendência de Tecnologia da Informação da Universidade Federal do Ceará (STI/UFC) e Professor de Auditoria de Sistemas do Programa de Pós Graduação Lato Sensu em Auditoria da Faculdade de Economia, Administração, Atuária e Contabilidade (FEAAC/UFC). Desde 2019, é membro do comitê científico do Congresso Latino-Americano de Software Livre e Tecnologias Abertas (LATINOWARE), considerado um dos maiores eventos mundiais de software livre e tecnologia aberta. É também membro do Grupo de Pesquisa Competência e Mediação em Ambientes de Informação (CMAI/UFC). Foi professor do Centro Universitário Unifanor Wyden Fortaleza (YDUQS), onde ministrou disciplinas nas áreas de Redes de Computadores, Software Livre, Programação em C, Cloud Computing, Segurança da Informação e Infraestrutura de TI. Mais de 10 anos de experiência em administração de servidores GNU/Linux e BSD like. Palestra e trabalha com consultoria em infraestrutura de TI, DevSecOps, Redes de Computadores,Virtualização Xen, Cloud Computing, Microsserviços, Firewall, GNU/Linux. É também artista visual, criptoartista e poeta, utilizando-se de técnicas computacionais de Inteligência Artificial (IA) para compor suas produções. Tem obras em exposição permanente no Museu de Arte da UFC e já expôs trabalhos visuais e literários em diversos eventos coletivos. Lançou em 2021 o livro AntologIA poética, considerado o primeiro livro de poemas, em língua portuguesa, gerados por um modelo de Inteligência Artificial.

Maria Giovanna Guedes Farias, Federal University of Ceará

Doutora em Ciência da Informação pelo Programa de Pós-Graduação em Ciência da Informação da Universidade Federal da Bahia, com período sanduíche na Università della Calabria (Unical) na Itália, fomentado pela Capes. Professora do Programa de Pós-Graduação em Ciência da Informação e do Departamento de Ciências da Informação da Universidade Federal do Ceará. Líder do Grupo de Pesquisa Competência e Mediação em Ambientes de Informação. Bolsista de Produtividade em Pesquisa do CNPq - (PQ 2).

Gabriela Belmont de Farias, Federal University of Ceará

Professora na Universidade Federal do Ceará (UFC). Líder do Grupo de Pesquisa Competência e Mediação em Ambientes de Informação. Possui graduação em Biblioteconomia e Documentação pela Universidade Federal do Rio Grande do Norte (UFRN - 2003), Mestrado em Ciência da Informação pela Universidade Federal de Santa Catarina (UFSC - 2007) e Doutorado em Ciência da Informação pela Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP - 2014).
Desenvolve pesquisas na área de Ciência da Informação, com ênfase nos seguintes temas: Competência, Gestão, Recursos, Serviços de informação, Ensino de Biblioteconomia e Informação Científica e Tecnológica.

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Published

2024-02-01

How to Cite

Lustosa, M. de M., M. G. G. Farias, and G. B. de Farias. “Artificial Intelligence and Scientific Communication: A Systematic Review”. Brazilian Journal of Information Science: Research Trends, vol. 18, Feb. 2024, p. e024004, doi:10.36311/1981-1640.2024.v18.e024004.

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