Welcome to my website! I am a PhD student in Political Communication Science at the Vrije Universiteit Amsterdam. My dissertation is part of the NWO-funded project “Inside the filter bubble”. Before joining the Department at the Vrije Universiteit, I received a research master degree from the Amsterdam School of Communication Research.
My research interests include (the diversity of) online news consumption and using computational methods in the social sciences. I am motivated by the impact that changes in online environments have on the understanding and usage of news. Specifically, I use computational approaches to study when and where users come across different types of news – collecting digital trace data via innovative approaches such as data donations, analyzing different dimensions of diversity of the content and how it affects perceptions and attitudes of users. Apart from this, I have been involved in studying the challenges of different modes of news access, for example via news recommender systems and smart assistants.
I am part of the Computational Social Science Amsterdam group. Ouside of my own research, I am the early career representative of the Computational Methods Division of the International Communication Association and the editorial assistant of the open access journal Computational Communication Research. I frequently teach computational methods (R and Python) to social scientists.
PhD in Communication Science, since 2018
Vrije Universiteit Amsterdam
MSc (Research Master) in Communication Science, 2018
University of Amsterdam
BA in Communication Science and Philosophy, 2016