Introducing: Computational Communication Science Lab Amsterdam[go to overview]
Studying human communication and its effects increasingly requires analysis of various sources of online data and large archives of news and political texts. Therefore, the Vrije Universiteit Amsterdam and the University of Amsterdam started a collaboration last year to develop and stimulate the use of computational methods in communication science research. – the Computational Communication Science Lab Amsterdam. This presentation will give a short overview of the different projects and tools that are currently part of this project to point to possible avenues for interdisciplinary cooperation. All our tools, analyses and results are as transparent, open and easy to share and reuse as possible. We firmly believe that newly available digital data sets, analysis methods, and processing power can help improve the state of the art in communication research.
Felicia Löcherbach is a PhD Candidate at the department of Communication Science at the Vrije Universiteit Amsterdam. She is studying the diversity of issues and perspectives in (online) news and how it is affected by recommender algorithms and selective exposure. She is supervised by Wouter van Atteveldt (Vrije Universiteit Amsterdam), Damian Trilling and Judith Möller (University of Amsterdam). Her research is part of the project “Inside the filter bubble: A framework for deep semantic analysis of mobile news consumption traces” funded by a JEDS grant from NWO. Felicia obtained a Research Master in Communication Science at the University of Amsterdam (2018), and a Bachelor in Communication Science and Philosophy from the University of Erfurt (2016).
01.08.19 - 10:15