Understanding AI Disclosure Needs for News Production and Journalism

Conference Paper (2025)
Author(s)

Karthikeya Puttur Venkatraj (Centrum Wiskunde & Informatica (CWI), TU Delft - Industrial Design Engineering)

Sophie Morosoli (Universiteit van Amsterdam)

Hannes Cools (Universiteit van Amsterdam)

Laurens Naudts (Universiteit van Amsterdam, Katholieke Universiteit Leuven)

De Vreese Claes De Vreese (Universiteit van Amsterdam)

Natali Helberger (Universiteit van Amsterdam)

Pablo Cesar (Centrum Wiskunde & Informatica (CWI), TU Delft - Electrical Engineering, Mathematics and Computer Science)

Abdallah El Ali (Centrum Wiskunde & Informatica (CWI), Universiteit Utrecht)

Research Group
Multimedia Computing
DOI related publication
https://doi.org/10.1145/3771882.3771899 Final published version
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Multimedia Computing
Pages (from-to)
202-208
Publisher
ACM
ISBN (electronic)
9798400720154
Event
24th International Conference on Mobile and Ubiquitous Multimedia, MUM 2025 (2025-12-01 - 2025-12-04), Enna, Italy
Downloads counter
159
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Artificial Intelligence (AI) is revolutionizing the way content is produced and integrated into journalistic workflows. The EU AI act's Article 50 sets up transparency requirements aimed at encouraging the adoption and disclosure of AI in an ethical and responsible manner. In this study, we organized focus group interviews with Dutch citizens (N=21) to understand their expectations and needs regarding AI disclosures in the context of news production and journalism. These conversations are essential to understand if legal and regulatory policies are grounded in real-world experiences of citizens, and adequately address their concerns and enhance their digital interactions. We found that citizens predominantly favor disclosures of AI usage in journalistic content, in the form of (1) source references, (2) visual indicators (logos/watermarks) and (3) have varying preferences regarding information presentation and interaction modalities. Our findings highlight the need for interdisciplinary approaches to align standardization efforts with AI disclosures for news media.