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Results: 115
Number of items: 115
  • Open Access
    van Hoof, M., Trilling, D., Moeller, J., & Meppelink, C. S. (2024). It matters how you google it? Using agent-based testing to assess the impact of user choices in search queries and algorithmic personalization on political Google Search results. Journal of Computer-Mediated Communication, 29(6), Article zmae020. https://doi.org/10.1093/jcmc/zmae020
  • Open Access
    van Hoof, M., Meppelink, C. S., Moeller, J. E., & Trilling, D. (2024). Searching differently? How political attitudes impact search queries about political issues. New Media & Society, 26(7), 3728-3750. https://doi.org/10.1177/14614448221104405
  • 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
    Starke, A. D., Bremnes, A. S., Knudsen, E., Trilling, D., & Trattner, C. (2024). Perception versus Reality: Evaluating User Awareness of Political Selective Exposure in News Recommender Systems. In UMAP 2024: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization : 1-4 July, 2024, Cagliari, Italy (pp. 286-291). Association for Computing Machinery. https://doi.org/10.1145/3631700.3665189
  • Open Access
    Thijs, G., Trilling, D., & Kroon, A. C. (2024). Contextualized word embeddings expose ethnic biases in news. In WEBSCI '24 : Reflecting on the Web, AI, and Society: Proceedings of the 16th ACM Web Science Conference 2024 : May 21-24, 2024 : University of Stuttgart, Germany (pp. 290-295). Association for Computing Machinery. https://doi.org/10.1145/3614419.3643994
  • 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
  • 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
    Trilling, D., Araujo, T., Kroon, A., Möller, A. M., Strycharz, J., & Vermeer, S. (2024). Computational Communication Science in a Digital Society. In T. Araujo, & P. Neijens (Eds.), Communication Research into the Digital Society: Fundamental Insights from the Amsterdam School of Communication Research (pp. 247-264). Amsterdam University Press. https://doi.org/10.1515/9789048560608-016
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