Publications

You can also find my articles on my Google Scholar profile

Workshop Proceedings

{Myrthe Reuver, Nicolas Mattis, Marijn Sax}, Suzan Verberne, Nava Tintarev, Natali Helberger, Judith Moeller, Sanne Vrijenhoek, Antske Fokkens, Wouter van Atteveldt. (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: Proceedings of the 1st Workshop on NLP for Positive Impact (co-located at ACL-IJCNLP 2021, Online). Association of Computational Linguistics, p. 47–59. paper

Myrthe Reuver, Antske Fokkens, Suzan Verberne. (2021). “No NLP Task Should be an Island: Multi-disciplinarity for Diversity in News Recommender Systems’ In: Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL 2021, online). Association of Computational Linguistics, p. 45–55. paper | poster

Reports (not peer reviewed)

Myrthe Reuver, Nicolas Mattis. (2021). “Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)” In: Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (co-located at EACL 2021, online). Association of Computational Linguistics, p. 134–139. paper | poster | code/demo

Anthony Burton, Elena Aversa, Alessandra Facchin, Ivana Emily Škoro, Henri Mütschele, Shenglang Qing, Myrthe Reuver. (2019). “Streams of the Deep Web: Rebel Media, YouTube, and the algorithmic shaping of media ecosystems.” Digital Methods Wiki, UvA Summerschool. paper | code/demo

Brandsen, A., Kleppe, M., Veldhoen, S., Zijdeman, R., Huurman, H., Vos, H. De, Goes, K., Huang, L., Kim, A., Mesbah, S., Reuver, M., Wang, S., Hendrickx, I. (2019). “Brinkeys..” KB Lab:The Hague, the Netherlands. paper | code/demo

Myrthe Reuver, Nicolas Mattis. (2020) “Hackers of Science: Lessons from interdisciplinary science in a Hackathon” Socializing Science, blog website. paper

Myrthe Reuver. (2019) “Hoe een computer broodjeaapverhalen leert categoriseren.” Vertelcultuur Online. paper | code/demo

Master Theses

Myrthe Reuver. (2020). FINDING THE SMOKE SIGNAL: Smoking Status Classification with a Weakly Supervised Paradigm in Sparsely Labelled Dutch Free Text in Electronic Medical Records. Thesis. Research Master of Arts (ReMa) in Linguistics & Communication Sciences. Radboud University Nijmegen. text | defense slides

Myrthe Reuver. (2020). What Kind of Emergency? Providing Complaint Labels for Dutch Short Clinical Texts with Supervised & Explainable Machine Learning. Thesis. Master of Science in Cognitive Science & Artificial Intelligence. Tilburg University. text | defense slides

Extended Abstracts

Myrthe Reuver. (2019). Amputation or Accident? Classifying Dutch Urban Legends into Story Types with a Hierarchical Classifier. Abstract from DHBenelux Conference 2019, Liege, Belgium. abstract

Opinion

Myrthe Reuver. (2017). “Klaar zijn met feminisme?” Raffia Magazine. paper