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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
    Bernstein, A., de Vreese, C., Helberger, N., Schulz, W., Zweig, K., Baden, C., Beam, M. A., Hauer, M. P., Heitz, L., Jürgens, P., Katzenbach, C., Kille, B., Klimkiewicz, B., Loosen, W., Moeller, J., Radanovic, G., Shani, G., Tintarev, N., Tolmeijer, S., ... Zueger, T. (2021). Diversity in news recommendation: Manifesto from Dagstuhl Perspectives Workshop 19482. Dagstuhl Manifestos, 9(1), 43-61. https://doi.org/10.4230/DagMan.9.1.43
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