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.


 

 

NEWS:

1 2 3 4 ...
07.05.2020
 

Journal of Communication has published a paper by Hyunjin Song, Jakob-Moritz Eberl, and Olga Eisele!

01.04.2020
 

And practice physical distancing if you can.

06.03.2020
 

Political Communication has published a paper by Hyunjin Song, Petro Tolochko, Jakob-Moritz Eberl, Olga Eisele, Esther Greussing, Tobias Heidenreich,...

24.01.2020
 

Feminist Media Studies has published a paper by Fabienne Lind and Christine E. Meltzer!

24.01.2020
 

The "Books on Screen" project researches transparently.

07.01.2020
 

The Journal of Refugee Studies has published a paper by Tobias Heidenreich, Fabienne Lind, Jakob-Moritz Eberl, and Hajo G. Boomgaarden!

1 2 3 4 ...