Contesting personalized recommender systems: a cross-country analysis of user preferences external link

Starke, C., Metikoš, L., Helberger, N. & Vreese, C.H. de
Information, Communication & Society, 2024

Challenging rabbit holes: towards more diversity in news recommendation systems external link

Helberger, N., Bernstein, A., Schulz, W. & Vreese, C.H. de
LSE Media Blog, 2020

Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System external link

Bernstein, A., Vreese, C.H. de, Helberger, N., Schulz, W. & Zweig, K.A.
Dagstuhl Reports, vol. 9, num: 11, pp: 117-124, 2020

Designing for the Better by Taking Users into Account: A Qualitative Evaluation of User Control Mechanisms in (News) Recommender Systems external link

Harambam, J., Bountouridis, D., Makhortykh, M. & van Hoboken, J.
RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems, pp: 69-77, 2019

My Friends, Editors, Algorithms, and I: Examining audience attitudes to news selection external link

Thurman, N., Möller, J., Helberger, N. & Trilling, D.
Digital Journalism, vol. 2018, 2018

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity external link

Möller, J., Trilling, D., Helberger, N. & Es, B. van
Information, Communication & Society, 2018

Exposure diversity as a design principle for recommender systems external link

Helberger, N., Karppinen, K. & D'Acunto, L.
Information, Communication and Society, vol. 2018, num: 2, 2017