Technological Innovation in the Media Sector: Understanding Current Practices and Unraveling Opportunities

Simone Ooms, Pablo Cesar, Abdallah El Ali, Davide Ceolin, Laura Hollink, Manel Slokom, Eric Pauwels, Valentin Robu, Han La Poutre

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

AI technologies offer significant opportunities for the media sector, including content production, distribution, and audience engagement. This case study aims to bridge the technological expertise of the AI, Media & Democracy lab in the Netherlands to stakeholders in the media sector, identifying current technology implementation practices and outlining the potential of our technological expertise. First, a visual portfolio of the expertise of the researchers was created. Then, focus group workshops were held with broadcasters and media institutions, using an interactive online Miro environment. Results include insights on current implementation of the presented technologies by the media organizations, and opportunities for further implementation. Key takeaways are the broadcaster need for short-term implementation possibilities and the importance of having both B2C (broadcasters) and a B2B (the entire sector) perspectives present in focus groups to provide confirmation of findings and offer a broader viewpoint on the media landscape.

Original languageEnglish
Title of host publicationCHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Electronic)9798400703317
DOIs
Publication statusPublished - 11 May 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States
Duration: 11 May 202416 May 2024

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period11/05/2416/05/24

Bibliographical note

Publisher Copyright:
© 2024 Owner/Author.

Keywords

  • artificial intelligence
  • case study
  • focus group
  • industry practice
  • media sector

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