Designing personalisation of European public service media (PSM) trends on algorithms and artificial intelligence for content distribution
The migration of audiences to digital environments has motivated the media to develop a content distribution strategy that has a presence in these new spaces. In the case of European public broadcasters, they have strengthened their dig ital news services and have built video-on-demand platforms whe...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Santiago de Compostela (USC) |
| Repositorio: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| Idioma: | inglés |
| OAI Identifier: | oai:minerva.usc.gal:10347/45005 |
| Acceso en línea: | https://hdl.handle.net/10347/45005 |
| Access Level: | acceso abierto |
| Palabra clave: | Public service broadcasting PSM Recommendation systems Artificial intelligence AI Public service media Algorithms Bubble filters Video on demand VoD Journalism Audiovisual communication Content distribution News Trends Europe 3325 Tecnología de las telecomunicaciones |
| Sumario: | The migration of audiences to digital environments has motivated the media to develop a content distribution strategy that has a presence in these new spaces. In the case of European public broadcasters, they have strengthened their dig ital news services and have built video-on-demand platforms where they organise and screen their products. Even so, the overload of information and content reaching users forces corporations to look for new mechanisms to present an adequate, interesting and diverse offering to each of their followers. This research project analyses the use of artificial intelligence in the recommendation systems implemented by 14 European public broadcasters in Germany (ARD and ZDF), Belgium (VRT and RTBF), Denmark (DR), Spain (RTVE), Finland (YLE), France (France TV), Great Britain (BBC), the Netherlands (NPO), Ireland (RTÉ), Italy (RAI), Sweden (SVT) and Switzerland (RTS). The results reveal that there is no unanimity among the corporations with regard to the operation and origin of these systems, which vary between home made developments, acquired from third parties, or collaborative solutions. Operators differentiate between news rec ommendation processes and those executed on their VoD platforms and aim to distance their systems from those of commercial media, for which they have already started working on a public service media (PSM) algorithm that includes traditional public media values, avoids filter bubbles, and pays special attention to the European General Data Protection Regulation (GDPR). |
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