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 bias in digital data/methods and digital news (use).
My research centers on questions such as: How can we employ digital trace data to understand information-seeking across platforms? How can we track the flow of information with CSS online? What are biases of CSS methods?
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, digital trace data) with traditional methods (manual content analysis, surveys, experiments).
I serve as a speaker for the Journalism Studies Division of the German Communication Association. I am also a member of the Editorial Board of Digital Journalism. As I am interested in improving CSS methods, I 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 and give workshops on R/Python, automated content analysis, and digital trace data.
For more information, download my CV.
For a full list of my publications, see here
For a full list of my talks, see here
B.A. Research seminar, LMU Munich (2023-2024)