Teaching

Here you can find a selection of courses I have taught in the past years, and ressources which are useful for teaching and conducting research with students. 

Semester courses undergraduate level (B.A.)

Summer 2024
Seminar: Computational Methods in Research Practice
University lecture: Internet and Society

Fall/ Winter 2023/24
University lecture: Introduction to Communication Research, University of Jena
Seminar: Computational Methods in Research Practice

Spring 2022
Seminar: Misinformation and Conspiracy Theories, University of Zurich
Seminar: Investigative Journalism in the Digital Age, University of Zurich

Fall 2021 
University lecture: Media production and media management, University of Zurich

Semester courses graduate level (M.A.)

Summer 2024
Seminar: Computational Methods
Research seminar: Empirical project course

Fall/Winter 2023/24
Seminar: Digital Media and Politics

Spring 2021
Seminar: Online disinformation and the role of trust, University of Zurich

Fall 2020
Research seminar: Challenges for the digital society: disinformation, hate speech and fringe bubbles – part II, University of Zurich

Ressouces for Teaching



Database for Variables of Content Analysis (DOCA) 

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The open access database compiles, systematizes and evaluates relevant content-analytical variables of communication and political science research areas and topics. The aim of DOCA is to provide easily accessible examples of variables and their categories (values) used in content analysis. These examples can serve as a basis for further research projects. DOCA provides entries for single variables (e.g. actors, issues,...) and more complex theoretical constructs (often measured by more than one variable e.g., americanization).


The database offers a starting point for the operationalization of content-analytical questions and provides a basis for standardization (where possible and useful) and also comparability of content analytic studies. Furthermore, the database aims to contribute to equal opportunities between all researchers in this field by providing free access to important resources.


Link: www.hope.uzh.ch/doca