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Results: 468
Number of items: 468
  • Open Access
    Votta, F., Kruschinski, S., Fuglsang Hove, M., Helberger, N., Dobber, T., & de Vreese, C. (2026). Who Do Parties Target? Worldwide Evidence on Political Microtargeting. In A. Burns, G. Enli, A. O. Larsson, J. Y. Robinson, T. Bosch, & K. Kasianenko (Eds.), The Routledge Companion to Social Media and Politics (2nd ed., pp. 215-242). Routledge. https://doi.org/10.4324/9781003359524-17
  • Open Access
    Gattermann, K., van den Hoogen, E., & de Vreese, C. (2026). The role of far-right party performance in shaping disinformation concerns of European voters: evidence from the 2024 European Parliament elections. Journal of European Public Policy, 33(2), 636-661. https://doi.org/10.1080/13501763.2025.2489088
  • Open Access
    Wang, C., Kroon, A. C., Möller, J., de Vreese, C. H., & Boerman, S. C. (2026). When recommendations are explainable: An eye-tracking study comparing how and what to explain. Information Systems Frontiers, 28(1), 297–315. https://doi.org/10.1007/s10796-025-10670-7
  • 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
    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
    Weikmann, T., Wouters, F., Tulin, M., Hameleers, M., de Vreese, C., Zarouali, B., & Opgenhaffen, M. (2026). On the same page? Experts are mostly, but not always aligned about disinformation in times of generative AI. Harvard Kennedy School Misinformation Review , 7(2). https://doi.org/10.37016/mr-2020-196
  • 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
    Farooq, A., & de Vreese, C. (2026). Deciphering authenticity in the age of AI: how AI-generated disinformation images and AI detection tools influence judgements of authenticity. AI and Society, 41(1), 493-504. https://doi.org/10.1007/s00146-025-02416-5
  • Open Access
    Vrijenhoek, S. (2026). Building normative diversity into algorithmic news recommendations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wouters, F., Weikmann, T., Zarouali, B., Opgenhaffen, M., Hameleers, M., Tulin, M., & de Vreese, C. (2026). The Burden of Truth? Risks of Countering Disinformation in Flanders and the Netherlands. Tijdschrift voor Communicatiewetenschap, 54(2), 198-220. https://doi.org/10.5117/TCW2026.2.004.WOUT
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