Dr. Valerie Hase

Dr. Valerie Hase

Postdoctoral Scholar

LMU Munich

Welcome! I am a Postdoctoral Scholar at the Department of Media and Communication, LMU Munich. Using computational social science (CSS) and computational methods, I study digital news production and consumption.

I am interested in cross-platform perspectives on digital information, for instance questions such as: How do news outlets select and adapt news for social media platforms like Facebook, Instagram, or TikTok? How does this affect news users? And how can we employ computational methods for cross-platform studies? I also focus on crisis and conflict communication: In my Ph.D., I employed computational methods to study how news media cover crises: from terrorist attacks and terrorist groups to climate change and other fear-related topics.

My research is situated at the intersection of social science and computer science. It combines computational approaches (automated content analysis, web scraping, data donations) with traditional methods (manual content analysis, surveys, experiments). I serve as a speaker for the Journalism Studies Division of the German Communication Association. As I am interested in improving CSS methods for communication research, I also co-founded the Computational Methods Working Group at the University of Zurich/ETH and the Methods Early Career Network of the German Communication Association (DGPuK). Moreover, I teach introductory courses and workshops to R/Python and automated content analysis.

For more information, download my CV.

Interests
  • Digital Journalism
  • Cross-Platform Studies
  • Crisis Communication
  • Computational Methods
  • Text as Data Approaches
Education
  • 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

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