Myrthe Reuver

Myrthe Reuver

PhD Candidate @ VU on Diversity in News Recommender Systems: Computational Linguistics, Machine Learning, and Text Mining in Complex Domains. Contact email: myrthe[dot]reuver[at]vu[dot]nl

Publications

You can find a possibly more updated list of articles on my Google Scholar or Semantic Scholar profile

Papers

Alessandra Polimeno, Myrthe Reuver, Sanne Vrijenhoek and Antske Fokkens. (2023). “Improving and Evaluating the Detection of Fragmentation in News Recommendations with the Clustering of News Story Chains.” In Proceedings of NORMalize 2023: The First Workshop on the Normative Design and Evaluation of Recommender Systems, September 19, 2023, co-located with the ACM Conference on Recommender Systems 2023 (RecSys 2023), Singapore. paper | slides

Mariken van der Velden, Myrthe Reuver, Antske Fokkens, Felicia Loecherbach, Kasper Welbers, Wouter van Atteveldt. Whose Truth is it Anyway? An Experiment on Annotation Bias in Times of Factual Opinion Polarization. preprint

Michiel van der Meer, Myrthe Reuver, Urja Khurana, Lea Krause, and Selene Baez Santamaria. (2022). Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction. In Proceedings of the 9th Workshop on Argument Mining, pages 95–103, Online and in Gyeongju, Republic of Korea. International Conference on Computational Linguistics. paper | slides | 🥇 Shared Task Winning Contribution

Myrthe Reuver, Verberne, S., Morante, R., & Fokkens, A. (2021). Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study. In Proceedings of the 8th Workshop on Argument Mining (co-located with EMNLP 2021, Online and in the Dominican Republic) (pp. 46-56). paper | slides | video

{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 | poster

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

Book Reviews

Myrthe Reuver (2022) Summary & Book Review of “Linguistics for the Age of AI”. In: The Linguist List 33.135. paper

Myrthe Reuver (2022), “Debatten over Abortus om te Leren over Kernenergie”. DIXIT tijdschrift over taal- en spraaktechnologie, jaargang 19. Page 16-17. magazine

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

Myrthe Reuver. (2019). Vlog for research week ``ICT with Industry”. video.

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