La formación universitaria de periodistas en el contexto de la Inteligencia Artificial

Una revisión sistematizada

Bibliographic Data

ID21777303
AuthorsRosmir Sivira Camacaro (0000-0002-5266-7371, Universidad Autónoma de Chile, corresponding author)
Year2025
Pages513-529
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueDoxa Comunicación Revista interdisciplinar de estudios de comunicación y ciencias sociales (JOURNAL)
Journal identifiersISSN: 1696-019X • E-ISSN: 2386-3978
PublisherFundacion Universitaria San Pablo CEU (PUBLISHER)
DOI10.31921/doxacom.n40a2225
OpenAlexW4406005245
LanguageES
Citations received2
References cited25

Artificial Intelligence (AI) is gaining ground in the communications industry, taking over tasks traditionally performed by journalists. However, the application of information technology tools requires specific competencies. The aim of this study is to analyze the training approaches for journalism in higher education institutions concerning the development of skills related to Artificial Intelligence and automated journalism. A systematic review of 107 scientific articles was conducted. Among the findings, it was noted that universities do not specifically and deeply address content related to AI, and educators reported lacking the competencies to teach courses related to the application of AI in journalism, knowledge that is already demanded in the job market. It is concluded that there are significant deficiencies in university training in AI for journalists, highlighting the need to update study programs and incorporate interdisciplinary approaches. It is suggested to train educators and promote collaboration with technology experts to prepare future journalists for the ethical and critical use of automated tools

Humanities · Political science · Advertising and Communication Studies · Communication and COVID-19 Impact · Media and Digital Communication · Philosophy

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