Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 115
Number of items: 115
  • Open Access
    van Klingeren, M., Trilling, D., & Möller, J. (2021). Public opinion on Twitter? How vote choice and arguments on Twitter comply with patterns in survey data, evidence from the 2016 Ukraine referendum in the Netherlands. Acta Politica, 56(3), 436-455. https://doi.org/10.1057/s41269-020-00160-w
  • Open Access
    de León, E., & Trilling, D. (2021). A Sadness Bias in Political News Sharing? The Role of Discrete Emotions in the Engagement and Dissemination of Political News on Facebook. Social Media and Society, 7(4). https://doi.org/10.1177/20563051211059710
  • Open Access
    Kroon, A. C., Trilling, D., & Raats, T. (2021). Guilty by association: Using word embeddings to measure ethnic stereotypes in news coverage. Journalism and Mass Communication Quarterly, 98(2), 451-477 . https://doi.org/10.1177/1077699020932304
  • Open Access
    Dobber, T., Metoui, N., Trilling, D., Helberger, N., & de Vreese, C. (2021). Do (microtargeted) deepfakes have real effects on political attitudes? International Journal of Press/Politics, 26(1), 69-91. https://doi.org/10.1177/1940161220944364
  • Open Access
    Meppelink, C. S., Hendriks, H., Trilling, D., van Weert, J. C. M., Shao, A., & Smit, E. S. (2021). Reliable or not? An automated classification of webpages about early childhood vaccination using supervised machine learning. Patient Education and Counseling, 104(6), 1460-1466. https://doi.org/10.1016/j.pec.2020.11.013
  • Open Access
    Denkovski, O., & Trilling, D. (2020). Whose fingerprint does the news show? Developing machine learning classifiers for automatically identifying Russian state-funded news in Serbia. International Journal of Communication : IJoC, 14, 4428-4452. https://ijoc.org/index.php/ijoc/article/view/13925/3193
  • Open Access
    Loecherbach, F., & Trilling, D. (2020). 3bij3 – Developing a framework for researching recommender systems and their effects. Computational Communication Research, 2(1), 53-79. https://doi.org/10.5117/CCR2020.1.003.LOEC
  • Open Access
    Vermeer, S., & Trilling, D. (2020). Toward a better understanding of news user journeys: A markov chain approach. Journalism Studies, 21(7), 879-894. https://doi.org/10.1080/1461670X.2020.1722958
  • Open Access
    Burggraaff, C., & Trilling, D. (2020). Through a different gate: An automated content analysis of how online news and print news differ. Journalism, 21(1), 112-129 . https://doi.org/10.1177/1464884917716699
  • Open Access
    Jonkman, J. G. F., Trilling, D., Verhoeven, P., & Vliegenthart, R. (2020). To pass or not to pass: How corporate characteristics affect corporate visibility and tone in company news coverage. Journalism Studies, 21(1), 1-18. https://doi.org/10.1080/1461670X.2019.1612266
Page 6 of 12