Conceptual trend for Automated Journalism

an A nalysis between 2018 and 2022

Authors

DOI:

https://doi.org/10.30962/ecomps.3035

Keywords:

Automated Journalism, Robot Journalism, Computational Journalism, Artificial Intelligence, Machine learning

Abstract

This article aims to identify research trends on automated journalism and understand the definitions used for the term. Bibliometric analysis and descriptive analysis of the term are carried out in articles published in the Scopus and Web of Science databases between 2018 and 2022. Trends are analyzed quantitatively in 313 articles focusing on indicators: temporality; production by countries; areas of knowledge; connections and co-occurrence of keywords; main authors. Definitions are qualitatively evaluated in 12 articles based on the axes: nomenclature; news writing; productive routines; use of data and use of AI communicative technologies.

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Author Biographies

Maíra Evangelista de Sousa, Universidade da Amazônia, Belém, Pará, Brasil

Doutora em Comunicação e Informação pela Universidade Federal do Rio Grande do Sul (UFRGS). Professora dos cursos de Comunicação Social e do Programa de Pós-Graduação em Comunicação, Linguagens e Cultura (PPGCLC) da Universidade da Amazônia (UNAMA). Coordenadora do Grupo de Pesquisa Ubiquidade da Comunicação – Ubicom (UNAMA/CNPq). Vice-coordenadora da Rede de Pesquisa Aplicada em Jornalismo e Tecnologias Digitais (JorTec).

Ana Juliana Fontes, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brasil

Doutoranda do Programa de Pós-Graduação em Engenharia, Mídias e Gestão do Conhecimento (PPGEGC), com bolsa CAPES, e mestre pelo Programa de Pós-Graduação em Jornalismo (PPGJOR) da Universidade Federal de Santa Catarina (UFSC). Líder da equipe de mídias no Knowledge Synthesis Center da UFSC (Bolsa MCTI, extensão).

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Published

06-08-2024

How to Cite

Sousa, M. E. de, & Fontes, A. J. (2024). Conceptual trend for Automated Journalism: an A nalysis between 2018 and 2022. E-Compós, 27. https://doi.org/10.30962/ecomps.3035

Issue

Vol. 27 (2024): E-Compós 2024

Section

Artigos Originais

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Copyright (c) 2024 Maíra Evangelista de Sousa, Ana Juliana Fontes

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