Theory development and empirical research in the field of journalism and communication science are influenced by the digitalization of media in many ways, not least because of the availability of large amounts of individual traces of behavior over long periods of time. The novel area of computational communication science complements traditional empirical communication research with new methods as well as methodological perspectives. Our research group focuses on the automatic collection and computational modeling of individual user behavior and emerging communication processes and structures. This concerns theory development, e.g. via statistical and agent-based simulation methods, as well as data collection and analysis, e.g. in the area of automatic content analysis and statistical modeling of complex data structures.
In addition to research on methodological issues of empirical communication research and the development and application of novel methods, we study the contents, use and impact of digital media, individual news and media repertoires and audience networks as well as problematic media use.
Winkler, Y., Bachl, M., & Scharkow, M. (2022). Individual users’ participation on political Facebook pages. Journal of Quantitative Description: Digital Media, 2. https://doi.org/10.51685/jqd.2022.019
Mangold, F., & Scharkow, M. (2022). Metrics of News Audience Polarization: Same or Different? Communication Methods and Measures, online first.
Magin, M., Geiß, S., Stark, B., & Jürgens, P. (2021). Common Core in Danger? Personalized Information and the Fragmentation of the Public Agenda. The International Journal of Press/Politics, online first.
Tel: (+49) 6131 39-26842
Wissenschaftliche Mitarbeiterin | Research Associate
Tel: (+49) 6131 39-20721