Colección SciELO Chile

Departamento Gestión de Conocimiento, Monitoreo y Prospección
Consultas o comentarios: productividad@anid.cl
Búsqueda Publicación
Búsqueda por Tema Título, Abstract y Keywords



From Industry Hype to Emerging Criticism: Analysing Chilean News Media Coverage of Artificial Intelligence
Indexado
WoS WOS:001401755800001
Scopus SCOPUS_ID:85215424185
DOI 10.1080/21670811.2025.2450624
Año 2025
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



AI has become (again) a matter of public interest, and it is crucial to investigate how the news media intervenes in the hype and publicity around AI in different countries. At the intersection between Media Studies and Science and Technology Studies (STS), this article examines portrayals of AI and related technologies in the Chilean news media. We curated a corpus of nearly 7000 AI-related news articles from 2008 to 2023 from four Chilean newspapers. We combined an LDA topic modelling with an analysis with dictionaries of the key actors and critical issues discussed around AI. The analysis shows the explosive growth of the media coverage of AI in recent years, as well as the diversity of topics associated with AI in Chile. We found a high prominence of topics related to industry and technology, a high visibility of international actors, mostly U.S. tech companies, and a low level of mentions of critical issues around AI. Moreover, we also discuss the low coverage of the State's AI use, the emergent use of generative AI in tech journalism, and the prominence of topics such as the arts and humanities that appear as emerging spaces for the problematisation of AI in Chile.

Revista



Revista ISSN
Digital Journalism 2167-0811

Métricas Externas



PlumX Altmetric Dimensions

Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:

Disciplinas de Investigación



WOS
Communication
Scopus
Communication
SciELO
Sin Disciplinas

Muestra la distribución de disciplinas para esta publicación.

Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



Muestra la distribución de colaboración, tanto nacional como extranjera, generada en esta publicación.


Autores - Afiliación



Ord. Autor Género Institución - País
1 Barragan, Matias Valderrama - Univ Warwick - Reino Unido
Millennium Nucleus Futures Artificial Intelligence - Chile
University of Warwick - Reino Unido
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile
1 Valderrama Barragán, Matías - University of Warwick - Reino Unido
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile
Millennium Nucleus Futures Artificial Intelligence - Chile
2 Tironi, Martin - Millennium Nucleus Futures Artificial Intelligence - Chile
Pontificia Universidad Católica de Chile - Chile
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile
3 Cotoras, Dusan - Millennium Nucleus Futures Artificial Intelligence - Chile
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile
4 Correa, Teresa - Millennium Nucleus Futures Artificial Intelligence - Chile
Universidad Diego Portales - Chile
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile
5 Humeres, Monica Mujer Millennium Nucleus Futures Artificial Intelligence - Chile
Universidad Diego Portales - Chile
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile
6 Lopez, Claudia - Millennium Nucleus Futures Artificial Intelligence - Chile
Universidad Técnica Federico Santa María - Chile
Millennium Nucleus Futures of Artificial Intelligence Research (FAIR) - Chile

Muestra la afiliación y género (detectado) para los co-autores de la publicación.

Financiamiento



Fuente
ESRC
Nucleus Millenium Futures of Artificial Intelligence Research FAIR under the ANID Millennium Science Initiative Program

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This work was supported by the Nucleus Millenium Futures of Artificial Intelligence Research FAIR under the ANID Millennium Science Initiative Program [NCS2022_065], and the ESRC [grant number ES/P000711/1].

Muestra la fuente de financiamiento declarada en la publicación.