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Results: 473
Number of items: 473
  • Open Access
    Vrijenhoek, S. (2026). Building normative diversity into algorithmic news recommendations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Helberger, N., de Vreese, C., Bouchè, G., Ferrari Braun, A., van Drunen, M., Kruschinski, S., Mattis, N., Morosoli, S., Naudts, L., Papaevangelou, C., Seipp, T., Votta, F., & Weikmann, T. (2026). Generative AI and Democracy: Study on advantages and risks of the use of generative artificial intelligence in public debate and democratic processes . Steering Committee on Democracy (CDDEM). https://rm.coe.int/report-generative-ai-and-democracy/48802c3a76
  • Open Access
    van Erkel, P. F. A., van Aelst, P., Van Nieuwenborgh, J., de Vreese, C. H., Hameleers, M., & Hopmann, D. N. (2026). Combating disinformation with news literacy interventions: An Experimental Study on the Framing Effects of News Literacy Messages. International Journal of Press/Politics, 31(1), 140-160. https://doi.org/10.1177/19401612241279534
  • Open Access
    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
  • Open Access
    Vermeer, S., Trilling, D., Stolwijk, S., Kruikemeier, S., & de Vreese, C. (2025). What’s on and who’s watching? Combining people-meter data and subtitle data to explore television exposure to political news. Political Communication, 42(3), 405-431. https://doi.org/10.1080/10584609.2024.2409405
  • 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/
  • 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/
  • Open Access
    Tulin, M., Hameleers, M., de Vreese, C., Aalberg, T., Corbu, N., van Erkel, P., Esser, F., Gehle, L., Halagiera, D., Hopmann, D. N., Koc-Michalska, K., Matthes, J., Mihelj, S., Schemer, C., Stetka, V., Strömbäck, J., Terren, L., & Theocharis, Y. (2025). Why do Citizens Choose to Read Fact-Checks in the Context of the Russian War in Ukraine? The Role of Directional and Accuracy Motivations in Nineteen Democracies. The International Journal of Press/Politics, 30(3), 679-704. https://doi.org/10.1177/19401612241233533
  • Open Access
    Mattis, N. M., Kieslich, K., & de Vreese, C. (2025). Feeling iffy about generative AI: When journalists disclose AI use, trust in news is lower. (v1 ed.) Open Science Framework. https://doi.org/10.31219/osf.io/tmzq4_v1
  • Open Access
    Venkatraj, K. P., Morosoli, S., Cools, H., Naudts, L., de Vreese, C., Helberger, N., Cesar, P., & El Ali, A. (2025). Understanding AI Disclosure Needs for News Production and Journalism. In S. Sorce, P. Elagroudy, & M. Khamis (Eds.), Proceedings of MUM 2025: The 24th International Conference on Mobile and Ubiquitous Multimedia (pp. 202-208). Association for Computing Machinery. https://doi.org/10.1145/3771882.3771899
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