Search results
Results: 115
Number of items: 115
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Verbeij, T., Beyens, I., Trilling, D., & Valkenburg, P. M. (2024). Happiness and Sadness in Adolescents’ Instagram Direct Messaging: A neural topic modeling approach. Social Media + Society, 10(1). https://doi.org/10.1177/20563051241229655 -
Trilling, D., & Knudsen, E. (2023). Drivers of News Sharing: How Context, Content, and User Features Shape Sharing Decisions on Facebook [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.24183555.v1
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Amsterdam School of Communication Research (2023). Response to the call for feedback on a planned Delegated Regulation on data access provided for in the Digital Services Act (DSA). University of Amsterdam, Amsterdam School of Communication Research. https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/13817-Delegated-Regulation-on-data-access-provided-for-in-the-Digital-Services-Act/F3423477_en -
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 -
Stolwijk, S. B., Oschatz, C., Heseltine, M., & Trilling, D. (2023). Refining deliberative standards for online political communication: Introducing a summative approach to designing deliberative recommender systems. 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 Article 5 (CEUR workshop proceedings; Vol. 3639). CEUR-WS. https://ceur-ws.org/Vol-3639/paper5.pdf -
Schadeberg, A., Kraan, M., Groeneveld, R., Trilling, D., & Bush, S. (2023). Science governs the future of the mesopelagic zone. npj Ocean Sustainability, 2, Article 2. https://doi.org/10.1038/s44183-023-00008-8 -
de León, E., Vermeer, S., & Trilling, D. (2023). URLs can facilitate machine learning classification of news stories across languages and contexts. Computational Communication Research, 5(2). https://doi.org/10.5117/CCR2023.2.4.DELE -
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 -
Dobber, T., Trilling, D., Helberger, N., & de Vreese, C. (2023). Effects of an issue-based microtargeting campaign: a small-scale field experiment in a multi-party setting. The Information Society, 39, 35-44. https://doi.org/10.1080/01972243.2022.2134240
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