Below, you find some publications related to Computational Communication Science authored by members of our group.



Development and description of Computational Methods

Trilling, D. & Jonkman, J.G.F. (2018) Scaling up Content Analysis. Communication Methods and Measures (online first), doi: 10.1080/19312458.2018.1447655

Trilling, D. (2018). Big Data, Analysis of. In: Matthes, J. (ed.), International Encyclopedia of Communication Research Methods. Hoboken, NJ: Wiley.

Günther, E., Trilling, D., & Van de Velde, R.N. (2018). But how do we store it? (Big) data architecture in the social-scientific research process. In: Stuetzer, C.M., Welker, M., & Egger, M. (eds.): Computational Social Science in the Age of Big Data. Concepts, Methodologies, Tools, and Applications. Cologne, Germany: Herbert von Halem. (pp. 161-187)

Kasper Welbers, Wouter van Atteveldt, and Ken Benoit (2017), Text Analysis in R. Communication Methods and Measures, 11 (4), 245-265, doi: 10.1080/19312458.2017.1387238

Wouter van Atteveldt, Tamir Sheafer, Shaul R. Shenhav and Yair Fogel-Dror (2017), Clause analysis: Using syntactic information to automatically extract source, subject, and predicate from texts with an application to the 2008-2009 Gaza War, Political Analysis, 25(2), 207-222. doi:10.1017/pan.2016.12

Boumans, J.W., & Trilling, D. (2016). Taking stock of the toolkit: An overview of relevant automated content analysis approaches and techniques for digital journalism scholars. Digital Journalism, 4(1), 8–23. doi:10.1080/21670811.2015.1096598


Applications of computational methods

Möller, J., Trilling, D., Helberger, N., & van Es, B. (2018). Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity. Information, Communication & Society, online first. doi:10.1080/1369118x.2018.1444076

Strycharz, J., Strauss, N., & Trilling, D. (2018). The role of media coverage in explaining stock market fluctuations: Insights for strategic financial communication. International Journal of Strategic Communication, 12(1), 67–85. doi:10.1080/1553118X.2017.1378220

Boukes, M., & Trilling, D. (2017) Political relevance in the eye of the beholder: Determining the substantiveness of TV shows and political debates with Twitter data. First Monday, 22(4). doi:10.5210/fm.v22i14.7031

Burggraaff, C. & Trilling (2017). Through a different gate: An automated content analysis of how online news and print news differ. Journalism, online first. doi:10.1177/1464884917716699 [HTML] [PDF]

Trilling, D., Tolochko, P., & Burscher, B. (2017). From newsworthiness to shareworthiness: How to predict news sharing based on article characteristics. Journalism & Mass Communication Quarterly, 94(1), 38-60. doi:10.1177/1077699016654682

Trilling, D. (2015) Two different debates? Investigating the relationship between a political debate on TV and simultaneous comments on Twitter. Social Science Computer Review, 33(3), 259–276. doi:10.1177/0894439314537886.