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Results: 16
Number of items: 16
  • Open Access
    Lin, Z., Trilling, D., Duncan, S., Welbers, K., & Vermeer, S. (2025). Surprise me! A longitudinal user study on serendipitous interface design in news recommender systems. In P. Brusilovsky , A. Felfernig , P. Lops , M. Polignano , G. Semeraro , & M. C. Willemsen (Eds.), Proceedings of the 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2025): co-located with 19th ACM Conference on Recommender Systems (RecSys 2025) : Prague, Czech Republic, September 22, 2025 Article 6 (CEUR Workshop Proceedings; Vol. 4027). CEUR-WS. https://ceur-ws.org/Vol-4027/paper6.pdf
  • Open Access
    van der Velden, M. A. C. G., Loecherbach, F., van Atteveldt, W., Fokkens, A., Reuver, M., & Welbers, K. (2025). Whose truth is it anyway? An experiment on annotation bias in times of factual opinion polarization. Communication Methods and Measures, 19(4), 332-349. https://doi.org/10.1080/19312458.2025.2562034
  • Open Access
    Lin, Z. (2025). News in perspective: What is news to news users in the digital age? [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Welbers, K., Loecherbach, F., Lin, Z., & Trilling, D. (2024). Anything you would like to share: Evaluating a data donation application in a survey and field study. Computational Communication Research, 6(2). https://doi.org/10.5117/CCR2024.2.5.WELB
  • Open Access
    Hase, V., Ausloos, J., Boeschoten, L., Pfiffner, N., Janssen, H., Araujo, T., Carrière, T., de Vreese, C., Haßler, J., Loecherbach, F., Kmetty, Z., Möller, J., Ohme, J., Schmidbauer, E., Struminskaya, B., Trilling, D., Welbers, K., & Haim, M. (2024). Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies? Internet Policy Review, 13(3). https://doi.org/10.14763/2024.3.1793
  • Open Access
    Trilling, D., Dubèl, R., Kiddle, R., Kroon, A. C., Lin, Z., Simon, M., Vermeer, S., Welbers, K., & Boukes, M. (2024). What is popular gets more popular? Exploring over-time dynamics in article readership using real-world log data. Journalism Studies, 25(16), 2051–2071. https://doi.org/10.1080/1461670X.2024.2411334
  • Open Access
    Kroon, A., Welbers, K., Trilling, D., & van Atteveldt, W. (2024). Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning. Communication Methods and Measures, 18(2), 142-162. https://doi.org/10.1080/19312458.2023.2261372
  • Open Access
    Simon, M. (2024). What happens on the fringes, stays on the fringes? Information flows in the contemporary media system. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Simon, M., Welbers, K., Kroon, A. C., & Trilling, D. (2023). Linked in the dark: A network approach to understanding information flows within the Dutch Telegramsphere. Information, Communication & Society, 26(15), 3054-3078. https://doi.org/10.1080/1369118X.2022.2133549
  • Open Access
    Kiddle, R., Welbers, K., Kroon, A., & Trilling, D. (2023). Enabling serendipitous news discovery experiences by designing for navigable surprise. In S. Vrijenhoek, L. Michiels, J. Kruse, A. Starke, J. Viader Guerrero, & N. Tintarev (Eds.), Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023): co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023) : Singapore, Singapore, September 19, 2023 (CEUR workshop proceedings; Vol. 3639). CEUR-WS. https://ceur-ws.org/Vol-3639/short2.pdf
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