Valerie Hase

Welcome! I am a Communication Researcher at the Department of Media and Communication, LMU Munich. Using computational social science (CSS) and computational methods, I study how new media cover crises and conflicts.

In my dissertation, I focus on employing Computational Social Science, especially text as data approaches, to study how news media cover different crises: from terrorist attacks and terrorist groups to climate change or fear-related topics more generally.

Beyond that, I am interested in understanding the platformization of news: How do news outlets select and adapt news for social media platforms like Twitter, Facebook, Instagram, or TikTok?

On a methodological level, both my reseach and my teaching focus on improving the validity and reliability of CSS in communication research. I research how emerging intersections between computer science and social sciences change our field. I co-founded the Computational Methods Working Group at the University of Zurich/ETH, for instance organizing events such as the Young Scholars in CSS conference or a panel on careers in CSS as part of the IC2S2. I also teach introductory courses to R and automated content analysis and give workshops on text as data approaches.

For more information, download my CV.