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 language | English |
|---|---|
| Title of host publication | CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400703317 |
| DOIs | |
| Publication status | Published - 11 May 2024 |
| Externally published | Yes |
| Event | 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States Duration: 11 May 2024 → 16 May 2024 |
Conference
| Conference | 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 |
|---|---|
| Country/Territory | United States |
| City | Hybrid, Honolulu |
| Period | 11/05/24 → 16/05/24 |
Funding
This research would not have been possible without all participants throughout the case study; both the researchers for sharing their expertise and the media sector participants for sharing what their organization is doing in terms of technological innovation. This publication is part of the AI, Media & Democracy Lab (Dutch Research Council project number: NWA.1332.20.009).
| Funders | Funder number |
|---|---|
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | NWA.1332.20.009 |