The Computational Communication Science Lab (CCL) is an interdisciplinary research network at the Department of Communication of the University of Vienna.  We aim to advance our understanding of various antecedents, processes, and consequences of mediated/unmediated communication behaviors on human attitudes, cognitions, and behaviors using computational approaches in a social science framework. In particular, we seek to advance various fields of communication science such as journalism and political communication through the use of computerized tools and algorithms for collecting, processing, analyzing, and visualizing large-scaled, complex data.

The goal of CCL is to facilitate the development and application of computational methods through excellence in empirical research and advancement of novel theoretical and methodological perspectives. The research focus of our group includes areas such as (but are not limited to) computer-assisted content analysis, semi/fully automated textual data processing, topic modeling, information visualization, inferential network analysis, and computational modeling of communication behaviors.




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New team- and profile-pictures on the website! Copyright Michael Winkelmann


The REMINDER website has now gone online!


Communication Research published a paper by Hyunjin Song, Dominic Nyhuis and Hajo G. Boomgaarden on their website!


We have presented our newest research in the ICA divisions of Computational Methods, Political Communication as well as Ethnicity and Race in...


We explained network analysis to visitors of the #MFV17 by showing them their own Twitter networks as well as political networks from media content.


Communication Methods and Measures published a paper by Fabienne Lind, Maria Gruber and Hajo G. Boomgaarden on their website!

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