News with artificial intelligence: Perception and Impact on Audiences and Professionals after a Radio Experiment

Authors

DOI:

https://doi.org/10.26441/RC24.2-2025-3891

Keywords:

Artificial Intelligence, Mass media, Automated Journalism, Journalistic Ethics, Controlled Exposure, Emerging Technologies, Contente Generation, Voice Cloning, Media Regulation

Abstract

Purpose. This article analyses a pioneering radio experiment in the use of artificial intelligence (AI) conducted by the Basque public broadcaster in Basque, Euskal Irrati Telebista (EiTB), located in Spain. The initiative involved automating the generation of news texts and cloning human voices for news narration in the program Faktoria. Methodology. The research combines qualitative and quantitative methodologies to assess the detectability of automated content by the audience, as well as the perceptions and attitudes of listeners and media professionals towards the use of this technology. Results and conclusions. The results show that most listeners did not detect the presence of AI in the aired pieces, suggesting a high degree of technological mimicry. However, emotional values attributed to the automated voice, such as closeness and involvement, received lower ratings, indicating an emotional disconnection in the reception of AI-generated content. On a professional level, journalists expressed feelings of unease about the possibility of losing control over certain creative processes but also recognized the advantages of AI in automating routine tasks. Original contribution. This study is pioneering in evaluating the use of artificial intelligence in the creation of radio content in a minority language like Basque, with a particular focus on the detectability of the content and providing new insights into its impact on both audiences and professionals.

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Author Biographies

Julen Orbegozo Terradillos, Universidad del País Vasco (España)

Doctor en Comunicación Social, Profesor de Dirección de la Comunicación Pública e investigador en la Facultad de Ciencias Sociales y de la Comunicación de la Universidad del País Vasco. Sus líneas de investigación son: comunicación social y nuevas tecnologías; comunicación política y electoral; comunicación con perspectiva de género; activismo digital. https://orcid.org/0000-0002-2959-4397, julen.orbegozo@ehu.eus

Ainara Larrondo Ureta, Universidad del País Vasco (España)

Doctora en Periodismo y Máster de Investigación en Historia Contemporánea. Profesora Titular de Universidad en el departamento de Periodismo de la Facultad de Ciencias Sociales y de la Comunicación de la Universidad del País Vasco. Sus líneas de investigación son la comunicación digital, la innovación y el impacto de la tecnología en la profesión periodística, la alfabetización mediática y las redes sociales. https://orcid.org/0000-0003-3303-4330, ainara.larrondo@ehu.eus

Simón Peña Fernández, Universidad del País Vasco (España)

Doctor en Comunicación en Ciencias de la Información. Profesor Pleno en el departamento de Periodismo de la Facultad de Ciencias Sociales y de la Comunicación de la Universidad del País Vasco. Sus líneas de investigación son la comunicación digital, los cibermedios, las redes sociales y el impacto de la tecnología en el periodismo. https://orcid.org/0000-0003-2080-3241, simon.pena@ehu.eus

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Published

2025-09-03

How to Cite

Terradillos, J. O., Larrondo Ureta, A., & Peña Fernández, S. (2025). News with artificial intelligence: Perception and Impact on Audiences and Professionals after a Radio Experiment. Revista De Comunicación, 24(2), 321–339. https://doi.org/10.26441/RC24.2-2025-3891

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