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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Esther Greussing presented research about visualization of information in news media to journalists and the news industry.


Digital Journalism published a paper by Esther Greussing and Hajo G. Boomgaarden!


Hajo Boomgaarden and Hyunjin Song are on the editorial board of "Computational Communication Research"!


Communication Research published a paper by team member Hyunjin Song, Jaeho Cho and Grace A. Benefield!


Electoral Studies published a paper by team member Jakob-Moritz Eberl and Carolina Plescia!


The Annals of the International Communication Association published a paper by the REMINDER team on their website!

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