About me

Hello world! I am Myrthe Reuver, a PhD candidate at the Computational Linguistics and Text Mining Lab (CLTL) at the Free University of Amsterdam (VU). My research is about news recommender systems and specifically: diversity in news recommender systems. I intend to use Natural Language Processing techniques, such as language models, to automatically measure diversity. I’m supervised by prof. dr. Antske Fokkens (also connected to CLTL) and dr. Suzan Verberne (connected to LIACS at Leiden University).

As a master’s student I specialized in Natural Language Processing, Text Mining, and Machine Learning. I completed the Research Master’s programme “Linguistics and Communication Sciences” (cum laude, with Honours) at Radboud University in Nijmegen and the MSc programme “Cognitive Science and Artificial Intelligence” (with distinction) at Tilburg University in Tilburg. You can download my full CV here.

I completed two master thesis projects on NLP with clinical text at software company Topicus in Deventer. I was also a proud co-founder and editor-in-chief of Radboud’s student linguistics journal RU:ts, an open-access journal where students are authors, reviewers, and the editorial board. I also enjoy teaching - I was TA on Information Science during my MA and now a teacher of Programming in Python during my PhD.

I hope to continue doing interesting research in the future, where my interests lie in societally and scientifically responsible NLP in complex domains! Want to know more about any of my current or past projects? Ask me through email or Twitter. I’m always interested in new ideas or opportunities, so please contact me if you have any!


8 - 19 August 2022. I will attend the ESSLI summer school in Galway, Ireland in the summer of 2022.

June 2022. Following the SIKS “Responsible AI” course, which had a roleplaying game where we pretended to be different stakeholders for AI used for automatic resume scanning in hiring, after an ableist hiring incident. My role: the HR department. :-)

17 June 2022 Presented the poster “Beyond Gun Control: Creating a Dutch Stance Dataset for Diversity in News Recommendation” from my abstract on current work on a Dutch Political Stance dataset (shared work with Social Science colleagues at the VU, among them Kasper Welbers) at Computational Linguistics in the Netherlands (CLIN32).

13 Juni 2022. Received small grant (with dr. Ana Lopes from the Department of Social Science @ VU) for our interdisciplinary project “Reasons for online (dis)trust in sustainable initiatives” - financed by the Interdisciplinarity in the Digital Society VU grant.

29 April 2022 Started working once a month from Leiden University, where my co-advisor Suzan Verberne is based! If you are based in Leiden and want to talk/lunch/have ideas about my research, let me know!

May 2022 Gave an interview to the Dutch computer magazine Computer Idee, about my problems with the credit scoring algorithm of the National Railway (NS) and also my research project on diversity in news recommendation.

18 Feb 2022. Presented this poster - of my previously published paper on NLP in news rec - at the Network Institute’s event on interdisciplinarity in the Digital Society. Paper was joint work with the project group Rethinking News Algorithms. Also, I networked at this network event! :-)

18 Jan 2022. Interview in Dutch national newspaper Trouw about my problems with a credit check algorithm of the Dutch National Railway company (NS) - a topic related to ethics in data science/AI and thus something I care deeply about.

10 Nov 2021. Presented my paper “Is Stance Detection Topic-Independent and Cross-topic Generalizable? – A Reproduction Study”, a systematic and careful reproduction and assessment of cross-topic stance detection, at the Argument Mining Workshop at EMNLP, on-site in the Dominican Republic!