Artificial intelligence strategies in European public broadcastersUses, forecasts and future challenges

  1. Fieiras-Ceide, César 1
  2. Vaz-Álvarez, Martín 1
  3. Túñez-López, Miguel 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Revista:
El profesional de la información

ISSN: 1386-6710 1699-2407

Ano de publicación: 2022

Título do exemplar: Digital audio communication

Volume: 31

Número: 5

Tipo: Artigo

DOI: 10.3145/EPI.2022.SEP.18 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: El profesional de la información

Indicadores

Citas recibidas

  • Citas en Scopus: 3 (24-02-2024)
  • Citas en Dialnet Métricas: 3 (25-02-2024)
  • Citas en Web of Science: 1 (16-10-2023)
  • Citas en Dimensions: 3 (26-02-2024)

JCR (Journal Impact Factor)

  • Ano 2022
  • Factor de impacto da revista: 4.2
  • Factor de impacto sen autocitas: 3.8
  • Article influence score: 0.705
  • Cuartil maior: Q1
  • Área: COMMUNICATION Cuartil: Q1 Posición na área: 19/96 (Edición: SSCI)
  • Área: INFORMATION SCIENCE & LIBRARY SCIENCE Cuartil: Q2 Posición na área: 27/84 (Edición: SSCI)

SCImago Journal Rank

  • Ano 2022
  • Impacto SJR da revista: 0.872
  • Cuartil maior: Q1
  • Área: Information Systems Cuartil: Q1 Posición na área: 94/376
  • Área: Library and Information Sciences Cuartil: Q1 Posición na área: 35/258
  • Área: Communication Cuartil: Q1 Posición na área: 70/471
  • Área: Cultural Studies Cuartil: Q1 Posición na área: 29/1199

Índice Dialnet de Revistas

  • Ano 2022
  • Factor de impacto da revista: 2,810
  • Ámbito: COMUNICACIÓN Cuartil: C1 Posición no ámbito: 3/66
  • Ámbito: DOCUMENTACIÓN Cuartil: C1 Posición no ámbito: 1/24

CIRC

  • Ciencias Sociais: A

Scopus CiteScore

  • Ano 2022
  • CiteScore da revista: 6.1
  • Área: Communication Percentil: 91
  • Área: Library and Information Sciences Percentil: 88

Journal Citation Indicator (JCI)

  • Ano 2022
  • JCI da revista: 1.12
  • Cuartil maior: Q1
  • Área: COMMUNICATION Cuartil: Q1 Posición na área: 51/219
  • Área: INFORMATION SCIENCE & LIBRARY SCIENCE Cuartil: Q1 Posición na área: 32/163

Dimensions

(Datos actualizados na data de 26-02-2024)
  • Total de citas: 3
  • Citas recentes (2 anos): 3
  • Field Citation Ratio (FCR): 5.54

Resumo

As artificial intelligence (AI) gains space in the media, public broadcasters are testing and experimenting with these technologies to raise their services to the new standards of the audiovisual ecosystem. From algorithms that help recommend the most suitable content for users, to others that detect news and automate some of the tasks of journalists, these tools are increasingly present in public audiovisual corporations. The data were obtained from semi-structured in-depth interviews with a convenience sample of 15 corporations from 12 countries. The results reflect a heterogeneous application of artificial intelligence in corporations, oriented towards the automatic creation of content from structured data, the improvement of audience interaction through chatbots, and personalisation or verification. The implementation of these technologies also poses major challenges. Firstly, the economic cost of adapting these systems to each corporation and the difficulties in hiring experts to develop AI solutions prevent a complete deployment of these tools in public broadcasters. As main conclusions, we have understood that AI as a “culture” is believed to be vital for the public audiovisual services of the future, although its application is still far from being a standard and generally does not occupy a relevant strategic position in the innovation departments of corporations.

Información de financiamento

Este artículo forma parte de las actividades del proyecto “Medios audiovisuales públicos ante el ecosistema de las plataformas: modelos de gestión y evaluación del valor público de referencia para España” (PID2021-122386OB-I00), financiado por el Ministerio de Ciencia e Innovación (España), AEI y Feder, UE. Además de integrarse en las actividades de la ‘Cátedra RTVE-USC sobre Medios de Servicio Público en Europa’. El autor Martín Vaz-Álvarez tiene una beca FPU del Ministerio de Ciencia e Innovación del Gobierno de España con la referencia (FPU19/06204).

Financiadores

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