Dr. Valerie Hase

Dr. Valerie Hase

Postdoctoral Scholar / Akademische Rätin a.Z.

LMU Munich

Welcome! I am a Postdoctoral Scholar (Akademische Rätin a.Z.) at the Department of Media and Communication, LMU Munich. Taking a Computational Social Science (CSS) perspective, I study digital news production and consumption.

I am interested in cross-platform perspectives on digital information, for instance: How do news outlets select and adapt news for social media platforms like Facebook, Instagram, or TikTok? 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
  • Cross-Platform Studies
  • Digital Journalism
  • Crisis Communication
  • Computational Methods

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