Search results
Results: 115
Number of items: 115
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Savolainen, L., Trilling, D., & Liotsiou, D. (2020). Delighting and detesting engagement: Emotional politics of junk news. Social Media + Society, 6(4). https://doi.org/10.1177/2056305120972037 -
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 -
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 -
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 -
Trilling, D., & van Hoof, M. (2020). Between article and topic: news events as level of analysis and their computational identification. Digital Journalism, 8(10), 1317-1337. https://doi.org/10.1080/21670811.2020.1839352 -
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 -
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 -
Trilling, D. (2019). Conceptualizing and Measuring News Exposure as Network of Users and News Items. In C. Peter, T. Naab, & R. Kühne (Eds.), Measuring Media Use and Exposure: Recent Developments and Challenges (pp. 297-317). (Methoden und Forschungslogik der Kommunikationswissenschaft; Vol. 14). Herbert von Halem Verlag. -
Vasko, V., & Trilling, D. (2019). A permanent campaign? Tweeting differences among members of Congress between campaign and routine periods. Journal of Information Technology and Politics, 16(4), 342-359. https://doi.org/10.1080/19331681.2019.1657046
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