Jan Zilinsky

Computational political scientist

Core research interests: Public Opinion, Technology & Politics, Political Methodology. (Google Scholar)

I study how citizens digest political information, economic news, and controversial content – toxic speech, conspiracy rhetoric, disinformation – from online platforms, state actors, and political entrepreneurs.

Publications

Working papers

Surveys

Lecture notes

Data science

Slides from the Summer Institute in Computational Social Science:

Data visualization

The code and some materials for my Data visualization class are now publicly available.

Courses at TUM and information for students

Information for prospective students & thesis writers

Reboot Social Media

The Platforms for the People (part of the Reboot Social Media initiative) project explores where people draw the line between hateful content and content protected by freedom of speech principles. The findings inform us about the content moderation practices which users believe should be put in place to counter toxic/threatening speech.

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