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Results: 20
Number of items: 20
  • Open Access
    Loecherbach, F., Moeller, J., Trilling, D., & van Atteveldt, W. (2026). What is news? Mapping the diversity of news experiences in digital trace data. Journalism, 27(2), 407-425. https://doi.org/10.1177/14648849241303115
  • 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
    Mattis, N., Masur, P. K., Möller, J., & van Atteveldt, W. (2025). It ain't easy: using normatively motivated news diversification to facilitate policy support, tolerance, and political participation. Information, Communication & Society, 28(4), 651-668 . https://doi.org/10.1080/1369118X.2024.2423892
  • Open Access
    Mattis, N., Heitz, L., Masur, P. K., Möller, J., & van Atteveldt, W. (2025). Nudges for news recommenders: Prominent article positioning increases selection, engagement, and recall of environmental news, but reducing complexity does not. Journal of Communication, 75(6), 437–449. https://doi.org/10.1093/joc/jqaf019
  • Open Access
    Pouwels, J. L., Araujo, T., van Atteveldt, W., Bachl, M., & Valkenburg, P. M. (2024). Integrating Communication Science and Computational Methods to Study Content-Based Social Media Effects. Communication Methods and Measures, 18(2), 115-123. https://doi.org/10.1080/19312458.2023.2285766
  • Open Access
    Mattis, N., Masur, P., Möller, J., & van Atteveldt, W. (2024). Nudging towards news diversity: A theoretical framework for facilitating diverse news consumption through recommender design. New Media and Society, 26(7), 3681-3706. https://doi.org/10.1177/14614448221104413
  • 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
  • van Atteveldt, W., Trilling, D., & Arcíla Calderón, C. (2022). Computational analysis of communication: A practical introduction to the analysis of texts, networks, and images with code examples in Python and R. Wiley Blackwell. https://cssbook.net/
  • Open Access
    Araujo, T., Ausloos, J., van Atteveldt, W., Loecherbach, F., Moeller, J., Ohme, J., Trilling, D., van de Velde, B., de Vreese, C., & Welbers, K. (2022). OSD2F: An Open-Source Data Donation Framework. Computational Communication Research, 4(2), 372-387. https://doi.org/10.31235/osf.io/xjk6t, https://doi.org/10.5117/CCR2022.2.001.ARAU
  • Open Access
    Arcila Calderón, C., Van Atteveldt, W., & Trilling, D. (2021). Dossier Métodos Computacionales y Big Data en la Investigación en Comunicación. Cuadernos.info, 49, I-IV. https://doi.org/10.7764/cdi.49.35333
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