Valerie Hase

Valerie Hase

Research and Teaching Assistant / PhD student

LMU Munich

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 Ph.D., I employ computational methods to study how news media cover crises: from terrorist attacks and terrorist groups to climate change or other fear-related topics. I am also interested in digital news production and consumption: How do news brands select and adapt content for social media platforms like Facebook, Instagram, or TikTok?

My research is situated at the intersection of social science and computer science. It combines computational approaches (automated content analysis, web scraping) with traditional methods (manual content analysis, surveys). I am interested in improving CSS methods for communication research and bringing together the CSS community: I for instance co-founded the Computational Methods Working Group at the University of Zurich/ETH and organized the Young Scholars in CSS conference. I am also a co-founder of the Methods Early Career Network of the German Communication Association (DGPuK). Apart from that, I teach introductory courses and workshops to R and automated content analysis.

For more information, download my CV.

  • Crisis Communication
  • Digital Journalism
  • Computational Methods
  • Text as Data Approaches
  • PhD, Communication Research, 2022

    University of Zurich, Switzerland

  • M.Sc., Social Research Methods, 2017

    London School of Economics and Political Science, UK

  • M.A., B.A., Communication Research, 2016

    Westfälische Wilhelms-University, Germany