Computational Communication Science Group
Christine Wendo King'ang'i
The Computational Communication Science Group is dedicated to the analysis of digital media content and communication processes as well as the associated changes for individuals and society.
The research group operates at the combination between communication science and computer science, following a strong interdisciplinary approach. The main research interest lies in the fields of (Cognitive) Biases in Digital Media and Social Consequences of Online Media Use.
In addition to traditional methods of communication science, computational methods will be applied, improved, and evaluated.
The Computational Communication Science Group primarily investigates the usage of digital media and its effects on individuals and society. In addition to classical communication science methods, the group focuses on the application and evaluation of computational approaches in communication studies.
Cognitive and Algorithmic Biases in Digital Media
Social Consequences of Online Media Use
We offer students a sound education in communication science with close reference to how computational methods can open up insights into topics in communication and social science. This includes theoretical and practical work on methodological and algorithmic challenges that arise in the analysis of digital data and e.g., social media. In doing so, we emphasize high-quality, internationally oriented teaching, including English-language courses and degree programs.
Schindler, M. (2026). Social media and the smart city: A systematic review of city- and citizen-led digital spaces. Social Media + Society, 0(0). https://doi.org/10.1177/20563051261462375
Schindler, M. (2026). Masspersonal communication and mental health on social media in digital urban contexts (Doctoral dissertation, Technische Universität Ilmenau). https://doi.org/10.22032/dbt.70560
Barreto-Storandt, F., & Domahidi, E. (2026). One field, two realities: A computational study of topic divergence and academic capital in Latin American and international research. Annals of the International Communication Association, Article wlag013. https://doi.org/10.1093/anncom/wlag013
Urman, A., Domahidi, E., Gruber, J. B., Jovančević, A., Maier, M., Gërguri, D., Mazak, J., & Velden, M. (2026). Gender Representation in Large Language Models: A Cross-Linguistic and Cross-Model Analysis. Computational Communication Research, 8(2), 1-39. https://doi.org/10.5117/CCR2026.2.11.URMA
Niemann-Lenz, J., Schatto-Eckrodt, T., Domahidi, E., & Mahrt, M. (2026). Introduction to the Special Issue “The Datafication of Communication–New Methodological Approaches and Challenges”. Medien & Kommunikationswissenschaft, 74(1), 3-7. https://doi.org/10.5771/1615-634X-2026-1-3
Head of Group
Secretary
Staff
Christine Wendo King'ang'i, M.A.
Alumni
Dr. Aliya Andrich
Felipe Barreto-Storandt, M.A.
Dr. Anke Stoll
