Research output per year
Research output per year
Personal profile
Personal information
Nicolas Mattis is a PhD candidate at the department of Communication Science. He is studying news selection and exposure diversity in news recommender systems (NRSs). The goal of his research is to a) model individual news selection behaviour in NRSs and b) explore presentation strategies that could be used by the designers of such systems to facilitate exposure diversity while also taking into account potential backfire effects and ethical implications. His supervisors are Wouter van Atteveldt (Vrije Universiteit Amsterdam), Judith Möller (University of Amsterdam), and Philipp Masur (Vrije Universiteit Amsterdam). His research is part of the interdisciplinary project Rethinking news recommender algorithms: Nudging users towards diverse news exposure funded by NWO.
Ancillary activities
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Ancillary activities are updated daily
Academic qualification
Communication Science, Master, University of Amsterdam
1 Sep 2018 → 31 Jul 2020
Award Date: 31 Aug 2020
International Media & Communication, Bachelor, Erasmus University
1 Sep 2014 → 3 Jul 2017
Award Date: 3 Jul 2017
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Research output
- 2 Conference contribution
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Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content
Reuver, M., Mattis, N., Sax, M., Verberne, S., Tintarev, N., Helberger, N., Moeller, J., Vrijenhoek, S., Fokkens, A. & van Atteveldt, W., 1 Jul 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. Association for Computational Linguistics, ACL Anthology, p. 47-59 12 p.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)
Reuver, M. & Mattis, N., 16 Apr 2021, Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL 2021, online). Toivonen, H. & Boggia, M. (eds.). April ed. Association of Computational Linguistics, Vol. 2021. p. 134-139 6 p. (EACL Hackashop on News Media Content Analysis and Automated Report Generation, Hackashop 2021 at 16th conference of the European Chapter of the Association for Computational Linguistics, EACL 2021 - Proceedings).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open Access