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

    Universidade de Santiago de Compostela

    Santiago de Compostela, España


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


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


  • 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


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


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).


Referencias bibliográficas

  • Anderson, Christopher W. (2013). “Towards a sociology of computational and algorithmic journalism”. New media and society, v. 15, n. 7, pp. 1005-1021.
  • Aslama-Horowitz, Minna; Nieminen, Hannu (2017). “Diversity and rights. Connecting media reform and public service media”. Scientific journal of information and communication, v. 14, pp. 99-119.
  • Carlson, Matt (2015). “The robotic reporter: Automated journalism and the redefinition of labor, compositional forms, and journalistic authority”. Digital journalism, v. 3, n. 3, pp. 416-431.
  • Clerwall, Christer (2014). “Enter the robot journalist. Users’ perceptions of automated content”. Journalism practice, v. 8, n. 5, pp. 519-531.
  • Diakopoulos, Nicholas (2019). Automating the news. How algorithms are rewriting the media. London, UK: Harvard University Press. ISBN: 978 0 674976986
  • Dierickx, Laurence (2019). “Information automatisée et nouveaux acteurs des processus journalistiques”. Sur le journalisme, v. 8, n. 2.
  • Dörr, Konstantin-Nicholas (2016). “Mapping the field of algorithm, journalism”. Digital journalism, v. 4, n. 6, pp. 700-722.
  • Edge, Abigail (2014). “Ophan: Key metrics informing editorial at The Guardian”., 2 December.
  • Fanta, Alexander (2017). Putting Europe’s robots on the map: Automated journalism in news agencies. University of Oxford; Reuters Institute for the Study of Journalism.
  • Fieiras-Ceide, César; Vaz-Álvarez, Martín; Túñez-López, Miguel (2022). “Verificación automatizada de contenidos en las radiotelevisiones públicas europeas: Primeras aproximaciones al uso de la inteligencia artificial”. Redmarka. Revista de marketing aplicado, v. 26, n. 1, pp. 36-51.
  • Graefe, Andreas (2016). Guide to automated journalism. Broadway, USA: Columbia Tow Center for Digital Journalism.
  • Gran, Anne-Britt; Booth, Peter; Bucher, Taina (2020). “To be or not to be algorithm aware: A question of a new digital divide?” Information, communication & society, v. 24, n. 12, pp. 1779-1796.
  • Hallin, Daniel C.; Mancini, Paolo (2004). Comparing media systems: three models of media and politics. Cambridge, UK: Cambridge University Press. ISBN: 978 0 511790867
  • Hansen, Mark; Roca-Sales, Maritxell; Keegan, Jonathan M.; King, George (2017). Artificial intelligence: Practice and implications for journalism. New York: Tow Center for Digital Journalism; Brown Institute for Media Innovation.
  • Karlsen, Joakim; Stavelin, Eirik (2014). “Computational journalism in Norwegian newsrooms”. Journalism practice, v. 8, n. 1, pp. 34-48.
  • Kim, Jong-Hwan; Lee, Kang-Hee; Kim, Yong-Duk; Kuppuswamy, Naveen-Suresh; Jo, Jun (2007). “Ubiquitous robot: A new paradigm for integrated services”. In: 2007 IEEE International conference on robotics and automation, pp. 2853-2858.
  • Lecompte, Celeste (2015). “Automation in the newsroom”. Nieman reports, 1 September.
  • Lewis, Seth C.; Guzman, Andrea L.; Schmidt, Thomas R. (2019). “Automation, journalism, and human-machine communication: Rethinking roles and relationships of humans and machines in news”. Digital journalism, v. 7, n. 4, pp. 409-427.
  • Lindén, Carl-Gustav (2017). “Algorithms for journalism: The future of news work”. The journal of media innovations, v. 4, n. 1, pp. 60-76.
  • Marconi, Francesco; Siegman, Alex (2017). The future of augmented journalism: A guide for newsrooms in the age of smart machines.
  • Matsumoto, Rie; Nakayama, Hideki; Harada, Tatsuya; Kuniyoshi, Yasuo (2007). “Journalist robot: Robot system making news articles from real world”. In: 2007 IEEE International conference on robotics and automation, pp. 1234-1241.
  • Montal, Tal; Reich, Zvi (2017). “I, robot. You, journalist. Who is the author? Authorship, bylines and full disclosure in automated journalism”. Digital journalism, v. 5, n. 7, pp. 829-849.
  • Napoli, Philip M. (2012). “Audience evolution and the future of audience research”. International journal on media management, v. 14, n. 2, pp. 79-97.
  • Oremus, Will (2015). No more pencils, no more books. Slate. New Mexico: Public Service Aliance.
  • Rojas-Torrijos, José-Luis (2019). “La automatización en las coberturas deportivas. Estudio de caso del bot creado por The Washington Post durante los JJ.OO. de Río 2016 y Pyeongchang, 2018”. Revista latina de comunicación social, n. 74, pp. 1729-1747.
  • Saurwein, Florian (2019). “Emerging structures of control for algorithms on the Internet”. In: Eberwein, Tobias; Fengler, Susanne; Karmasin, Matthias. Media accountability in the era of post-truth politics. European challenges and perspectives. Abingdon, UK: Routledge. ISBN: 978 1 351115780
  • Sirén-Heikel, Stefanie; Leppänen, Leo; Lindén, Carl-Gustav; Bäck, Asta (2019). “Unboxing news automation: Exploring imagined affordances of automation in news journalism”. Nordic journal of media studies, v. 1, n. 1, pp. 47-66.
  • Soffer, Oren (2019). “Algorithmic personalization and the two-step flow of communication”. Communication theory, v. 31, n. 3, pp. 297-315.
  • Sørensen, Jannick-Kirk; Van-den-Bulck, Hilde (2018). “Public service media online, advertising and the third-party user data business: A trade versus trust dilemma?”. Convergence: The international journal of research into new media technologies, v. 26, n. 2, pp. 421-447.
  • Tortoise Media (2021). The global AI index. London: Tortoise Media.
  • Túñez-López, José-Miguel; Toural-Bran, Carlos; Frazão-Nogueira, Ana-Gabriela (2020) “From data journalism to robotic journalism: The automation of news processing”. In: Vázquez-Herrero, Jorge; Direito-Rebollal, Sabela; Silva-Rodríguez, Alba; López-García, Xosé. Journalistic metamorphosis. Studies in big data, v. 70. Springer, Cham.
  • Túñez-López, José-Miguel; Toural-Bran, Carlos; Valdiviezo-Abad, Cesibel (2019). “Automation, bots and algorithms in newsmaking. Impact and quality of artificial journalism”. Revista latina de comunicación social, n. 74, pp. 1411-1433.
  • UER (2019). EBU news report 2019. The next newsroom: unloking the power of AI for public service journalism. Geneva: EBU, European Broadcasting Union.
  • Ufarte-Ruiz, María-José; Manfredi-Sánchez, Juan-Luis (2019). “Algoritmos y bots aplicados al periodismo. El caso de Narrativa Inteligencia Artificial: estructura, producción y calidad informativa”. Doxa comunicación, n. 29, pp. 213-233.
  • Van-Dalen, Arjen (2012). “The algorithms behind the headlines”. Journalism practice, v. 6, n. 5-6, pp. 648-658.
  • Wu, Shangyuan; Tandoc, Edson C.; Salmon, Charles T. (2019). “A field analysis of journalism in the automation age: understanding journalistic transformations and struggles through structure and agency”. Digital journalism, v. 7, n. 4, pp. 428-446.
  • Yanfang, Wu (2020). “Is automated journalistic writing less biased? An experimental test of auto-written and human-written news stories”. Journalism practice, v. 14, n. 8, pp. 1008-1028.
  • Yleisradio (2018). The first of its kind in the world: Yle NewsWatch’s smart Voitto assistant shows recommendations directly on the lock screen. Helsinki: Yle.