Search results
Results: 115
Number of items: 115
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Kakavand, A. E., & Trilling, D. (2022). The criminal is always the foreigner?! A case study of minority signification in German crime reporting. International Journal of Communication, 16, 1169-1196. https://ijoc.org/index.php/ijoc/article/view/17319/3696 -
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
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de León Williams, 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 [Data set]. SAGE Journals. https://doi.org/10.25384/sage.c.5728503.v1
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Trilling, D., & de León Williams, E. (2021). sj-tex-1-sms-10 – Supplemental material for A Sadness Bias in Political News Sharing? The Role of Discrete Emotions in the Engagement and Dissemination of Political News on Facebook [Data set]. SAGE Journals. https://doi.org/10.25384/sage.17097021.v1
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Sotirakou, C., Trilling, D., Germanakos, P., Sinis, D. A., & Mourlas, C. (2021). Understanding the link between audience engagement metrics and the perceived quality of online news using machine learning. Web Intelligence, 19(1-2), 63-86. https://doi.org/10.3233/web-210457
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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
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Loecherbach, F., Welbers, K., Moeller, J., Trilling, D., & van Atteveldt, W. (2021). Is this a click towards diversity? Explaining when and why news users make diverse choices. In WebSci '21: Proceedings of the 13th ACM Web Science Conference : June 21–25, 2021, Virtual Event (pp. 282-290). Association for Computing Machinery. https://doi.org/10.1145/3447535.3462506
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Brands, C., Kruikemeier, S., & Trilling, D. (2021). Insta(nt)famous? Visual self-presentation and the use of masculine and feminine issues by female politicians on Instagram. Information Communication and Society, 24(14), 2016-2036. https://doi.org/10.1080/1369118X.2021.1962942
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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
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