Dr N.M. (Nicolas) Mattis
Postdoctoral researcher at the Amsterdam School of Communication Research
Faculty of Social and Behavioural Sciences
CW : Political Communication & Journalism
Visiting address
- Nieuwe Achtergracht 166
Postal address
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Postbus 15791
1001 NG Amsterdam
Contact details
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Profile
Nicolas Mattis is a postdoctoral researcher at the Amsterdam School of Communication Research and affiliated with the AI Media and Democracy Lab. His research focuses on responsible choice architecture design of digital information environments (e.g. avenues towards and consequences of nudging news engagement, effects of AI disclosures and fact-checking interventions), as well as the interplay of (Gen)AI, journalism, and politics/democracy more broadly.
Nicolas obtained his PhD on 'Nudging News Engagement: Avenues towards and consequences of normatively motivated news recommender design' at the Vrije Universiteit Amsterdam in 2025 (under the supervision of Prof. Wouter van Atteveldt, Prof. Judith Moeller, and Dr. Philipp K. Masur). Currently, he works with Prof. Claes de Vreese on the implications of generative AI for journalism and society, as well as challenges around mis- and disinformation.
In his research, he predominantly uses experiments and surveys, but also draws on qualitative and computational methods when necessary.
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Publications
2025
- Mattis, N. M. (2025). Framed for you: Exploring cognitive effects of episodic versus thematic frames and the moderating role of framing preferences. . Media Psychology.
- Mattis, N. M., Heitz, L., Masur, P. K., Möller, J. E., & 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.
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 [details]
2024
- Heitz, L., Mattis, N., Inel, O., & van Atteveldt, W. (2024). IDEA: Informfully dataset with enhanced attributes. In Proceedings of the Second Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2024): co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024) : Bari, Italy, October 18, 2024 Article 1 (CEUR workshop proceedings; Vol. 3398). CEUR-WS. https://ceur-ws.org/Vol-3898/paper1.pdf
- Mattis, N. M., Groot Kormelink, T., Masur, P., Möller, J. E., & van Atteveldt, W. (2024). Nudging news readers: A mixed-methods approach to understanding when and how interface nudges affect news selection. Digital Journalism. Advance online publication. https://doi.org/10.1080/21670811.2024.2350464
- 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 [details]
- Rieger, A., Draws, T., Mattis, N. M., Maxwell, D., Elsweiler, D., Gadiraju, U., McKay, D., Bozzon, A., & Pera, M. S. (2024). Responsible opinion formation on debated topics in web search. In Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. IV, pp. 437-465). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_32
2021
- 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 [details]
2025
- 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/ [details]
2024
- Mattis, N. (2024). Nudging News Readers : A Mixed-Methods Approach to Understanding When and How Interface Nudges Affect News Selection. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-159w4t
- Mattis, N. (2024). It Aint Easy: Using Normatively Motivated News Diversification to Facilitate Policy Support, Tolerance, and Political Participation. 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. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-dqqpws
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Ancillary activities
No ancillary activities
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 .