Jan Zilinsky

Jan Zilinsky is a Computational Social Scientist at the Technical University of Munich (TUM) within the Chair of Digital Governance at the TUM School of Social Sciences and Technology. His research spans technology's impact on politics, focusing on information ecosystems, economic policy, and political behavior through empirical studies of populism, social media effects, and conspiracy theories.

• Harvard University – Undergraduate studies
• New York University (NYU) – PhD in Political Science

His work appears in top-tier journals like American Political Science Review (APSR), Nature Communications, and Political Analysis, with media coverage in New York Times, Financial Times, and The Economist. Zilinsky investigates digital governance challenges such as content moderation, AI's political implications, and the democratic consequences of disinformation campaigns.

Recent research trends include:

• Analyzing social media's role in conspiracy theory proliferation
• Quantifying economic identity formation through computational methods
• Assessing AI-generated content's impact on media consumption

He supervises projects on Generative AI in Politics, Globalization, and Digital Media Effects, while developing methodologies to measure anti-establishment orientations and conspiratorial thinking through survey instruments and digital trace data analysis.