Search results
Results: 246
Number of items: 246
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Morosoli, S., Naudts, L., Cools, H., Venkatraj, K., Helberger, N., & de Vreese, C. (2026). Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens. AI & Society, 41(2), 1467-1479. https://doi.org/10.1007/s00146-025-02591-5 -
Helberger, N., Morosoli, S., Mattis, N., Naudts, L., & de Vreese, C. H. (2025). Governments want to ease AI regulation for innovation, but do citizens agree?. Web publication or website, Tech Policy Press. https://www.techpolicy.press/governments-want-to-ease-ai-regulation-for-innovation-but-do-citizens-agree/
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Cools, H., de Vreese, C., Ali, A. E., Helberger, N., Prajod, P., Mattis, N., Morosoli, S., Naudts, L., & Weikmann, T. (2025). Tackling the transparency puzzle: Five perspectives from AI disclosure research in news. Web publication or website https://www.aim4dem.nl/tackling-the-transparency-puzzle/
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Naudts, L., Helberger, N., Veale, M., & Sax, M. (2025). A Right to Constructive Optimization: A Public Interest Approach to Recommender Systems in the Digital Services Act. Journal of Consumer Policy, 48(3), 269-296. https://doi.org/10.1007/s10603-025-09586-1 -
Dodds, T., Vandendaele, A., Simon, F. M., Helberger, N., Resendez, V., & Yeung, W. N. (2025). Knowledge Silos as a Barrier to Responsible AI Practices in Journalism? Exploratory Evidence from Four Dutch News Organisations. Journalism Studies, 26(6), 740-758. https://doi.org/10.1080/1461670X.2025.2463589 -
Resendez, V., Kieslich, K., Helberger, N., & de Vreese, C. (2025). More Than Justifications an Analysis of Information Needs in Explanations and Motivations to Disable Personalization. Journalism Studies, 26(11), 1304-1312. https://doi.org/10.1080/1461670X.2025.2505001 -
Lin, Z., Trogrlic, G., de Vreese, C., & Helberger, N. (2025). Dangerous criminals and beautiful prostitutes? Investigating harmful representations in Dutch language models. In ACM FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency : June 23-26, 2025, Athens, Greece (pp. 1005-1014). Association for Computing Machinery. https://doi.org/10.1145/3715275.3732065 -
Kieslich, K., Diakopoulos, N., & Helberger, N. (2025). Anticipating impacts: using large-scale scenario-writing to explore diverse implications of generative AI in the news environment. AI and Ethics, 5(5), 4555–4577. https://doi.org/10.1007/s43681-024-00497-4
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