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Results: 115
Number of items: 115
  • 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
    Kiddle, R., Törnberg, P., & Trilling, D. (2024). Network toxicity analysis: An information-theoretic approach to studying the social dynamics of online toxicity. Journal of Computational Social Science, 7(1), 305-330. https://doi.org/10.1007/s42001-023-00239-2
  • 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
  • Open Access
    de León, E., Vermeer, S., & Trilling, D. (2023). Electoral news sharing: a study of changes in news coverage and Facebook sharing behaviour during the 2018 Mexican elections. Information, Communication & Society, 26(6), 1193-1209. https://doi.org/10.1080/1369118X.2021.1994629
  • Open Access
    Lin, Z., Welbers, K., Vermeer, S., & Trilling, D. (2023). Beyond discrete genres: Mapping news items onto a multidimensional framework of genre cues. In Y.-R. Lin, M. Cha, & D. Quercia (Eds.), Proceedings of the Seventeenth International AAAI Conference on Web and Social Media: June 5–8, 2023, Limassol, Cyprus (pp. 542-553). AAAI Press. https://doi.org/10.1609/icwsm.v17i1.22167
  • Open Access
    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
  • Open Access
    Hanimann, A., Heimann, A., Hellmueller, L., & Trilling, D. (2023). Believing in Credibility Measures: Reviewing Credibility Measures in Media Research From 1951 to 2018. International Journal of Communication, 17, 214-235. https://ijoc.org/index.php/ijoc/article/view/18815/3992
  • Open Access
    Seddik, K. M. A., Knudsen, E., Trilling, D., & Trattner, C. (2023). Understanding How News Recommender Systems Influence Selective Exposure. In A. Rapp, C. Trattner, J. Vassileva, F. Cena, R. Orji, & A. Starke (Eds.), Proceedings of the International Workshop on Behavior Change and Persuasive Recommender Systems: co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023) : Singapore, September 19, 2023 Article 5 (CEUR Workshop Proceedings; Vol. 3544). CEUR-WS. https://ceur-ws.org/Vol-3544/paper5.pdf
  • Open Access
    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
  • Open Access
    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
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