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Results: 10
Number of items: 10
  • 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
    Mattis, N. M., Kieslich, K., & de Vreese, C. H. (2025). Feeling iffy about generative AI: When journalists disclose AI use, trust in news is lower. OSF Preprints. https://doi.org/10.31219/osf.io/tmzq4_v1
  • Open Access
    Mattis, N., Masur, P. K., Möller, J., & van Atteveldt, W. (2025). It ain't easy: using normatively motivated news diversification to facilitate policy support, tolerance, and political participation. Information, Communication & Society, 28(4), 651-668 . https://doi.org/10.1080/1369118X.2024.2423892
  • Open Access
    Mattis, N., Heitz, L., Masur, P. K., Möller, J., & van Atteveldt, W. (2025). Nudges for news recommenders: Prominent article positioning increases selection, engagement, and recall of environmental news, but reducing complexity does not. Journal of Communication, 75(6), 437–449. https://doi.org/10.1093/joc/jqaf019
  • Mattis, N. (2024). It Aint Easy: Using Normatively Motivated News Diversification to Facilitate Policy Support, Tolerance, and Political Participation [Data set]. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-v2tdj3
  • Mattis, N. (2024). Nudges For News Recommenders: Prominent Article Positioning Increases Selection, Engagement and Recall of Environmental News, but Reducing Complexity Does Not [Data set]. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-dqqpws
  • Mattis, N. (2024). Nudging News Readers : A Mixed-Methods Approach to Understanding When and How Interface Nudges Affect News Selection [Data set]. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-159w4t
  • Open Access
    Mattis, N., Masur, P., Möller, J., & van Atteveldt, W. (2024). Nudging towards news diversity: A theoretical framework for facilitating diverse news consumption through recommender design. New Media and Society, 26(7), 3681-3706. https://doi.org/10.1177/14614448221104413
  • Open Access
    Reuver, M., Mattis, N., Sax, M., Verberne, S., Tintarev, N., Helberger, N., Moeller, J., Vrijenhoek, S., Fokkens, A., & van Atteveldt, W. (2021). Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content. In A. Field, S. Prabhumoye, M. Sap, Z. Jin, J. Zhao, & C. Brockett (Eds.), The 1st Workshop on NLP for Positive Impact: NLP4PosImpact 2021 : proceedings of the workshop : August 5, 2021, Bangkok, Thailand (online) (pp. 47-59). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.nlp4posimpact-1.6
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