Driving media innovation through collaborative artificial intelligence

The European Broadcasting Union’s AI Hub is a pioneering platform that facilitates the development and evaluation of customised AI solutions for the media industry. This collaborative ecosystem enables AI and media experts to co-create and refine artificial intelligence (AI) models designed specifically for media applications. By providing private spaces for testing AI models with proprietary content, the AI Hub guarantees comprehensive evaluations across a wide range of media content. This paper examines how these collaborative AI solutions are driving media innovation and highlights the crucial role of open source models in adapting to rapidly evolving technological landscapes. The paper will detail three key innovations: MetaRadio, which enriches radio experiences with metadata; a facial recognition system tailored for television programmes; and a Fake News Analyser designed to evaluate the reliability of news articles.

Authors

Institutions

Publication Details

Journal
Journal of digital media management
Published
2025-03-01
DOI
https://doi.org/10.69554/evho1458
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Driving media innovation through collaborative artificial intelligence

Alexandre Rouxel, Alberto Messina, Ivan Thomas, Tatjana Mladenovic
Journal of digital media management
Big Data and Business Intelligence
article

Driving media innovation through collaborative artificial intelligence

Alexandre Rouxel, Alberto Messina, Ivan Thomas, Tatjana Mladenovic
article en

Abstract

The European Broadcasting Union’s AI Hub is a pioneering platform that facilitates the development and evaluation of customised AI solutions for the media industry. This collaborative ecosystem enables AI and media experts to co-create and refine artificial intelligence (AI) models designed specifically for media applications. By providing private spaces for testing AI models with proprietary content, the AI Hub guarantees comprehensive evaluations across a wide range of media content. This paper examines how these collaborative AI solutions are driving media innovation and highlights the crucial role of open source models in adapting to rapidly evolving technological landscapes. The paper will detail three key innovations: MetaRadio, which enriches radio experiences with metadata; a facial recognition system tailored for television programmes; and a Fake News Analyser designed to evaluate the reliability of news articles.

Journal of digital media managementVol. 13(3)
Centro Ricerche FIAT (IT), Centre de Radiothérapie Bayard (FR)
Openalex Percentile: Top 93%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.