Computational Communication Research Group

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. Specifically, we are interested in a diverse range of topics from Communication Research such as gender diversity in Communication Science, science communication, political agents’ user behavior on social media, media selection in digital environments, and digital media use and mental health.

Recent publications

Denner, N., Koch, T., Viererbl, B., & Ernst, A. (2024). Feeling Connected and Informed Through Informal Communication: A Quantitative Survey on the Perceived Functions of Informal Communication in Organizations. Journal of Communication Management. https://doi.org/10.1108/JCOM-06-2024-0085

Schnauber-Stockmann, A., Scharkow, M., Karnowski, V., Naab, T. K., Schlütz, D., & Pressmann, P. (2024). Distinguishing Person-Specific from Situation-Specific Variation in Media Use: A Meta-Analysis. Communication Research, online first. https://doi.org/10.1177/00936502241262664

Braun, M., Heintz L., Kruschinski, S., Trepte, S., & Scharkow, M. (2023). Gender Diversity at Academic Conferences—The Case of the International Communication Association (ICA). Journal of Communication 73(6), 601-615. https://doi.org/10.1093/joc/jqad032

Scharkow, M., & Trepte, S. (2023). National diversity at conferences of the International Communication Association. Annals of the International Communication Association, 1–20. https://doi.org/10.1080/23808985.2023.2261018

more about our research

Team

Prof. Dr. Michael Scharkow

Professor

Email: scharkow@uni-mainz.de

Tel: (+49) 6131 39-26842

Laura Heintz

Laura Heintz, M.A.

Wissenschaftliche Mitarbeiterin |  Research Associate

Email: lheintz@uni-mainz.de

Tel: (+49) 6131 39-30513

Alicia Ernst

Alicia Ernst M.A.

Wissenschaftliche Mitarbeiterin |  Research Associate

Email: alicia.ernst@uni-mainz.de

Tel: (+49) 6131 39-30099

Yannick Winkler

Yannick Winkler M.A.

Wissenschaftlicher Mitarbeiter |  Research Associate

Email: yannick.winkler@uni-mainz.de