Jasmin Riedl

Jasmin Riedl serves as Professor of Political Science at the University of the Federal Armed Forces Munich, leading interdisciplinary research at the intersection of political science and computational methods. Her work addresses critical contemporary political challenges through three major projects:

• SPARTA (Society, Politics and Risk with Twitter Analysis): Ongoing since 2021, analyzing digital trace and behavioral data on X/Twitter, TikTok, and YouTube to develop social media monitoring solutions
• RISK.Twin
• PolProDat (Political Process Database)

Her research focuses on political competition, social and political polarization, radicalization processes, and specifically (digital) political violence and institutional delegitimization strategies during elections. She integrates computer science methodologies to examine behavioral patterns on social media platforms, with emphasis on real-time data evaluation of political discourse and risk assessment.

No scientific awards or student advising information is documented in the provided materials. Her research operations involve collaboration with an interdisciplinary team of professors spanning political science, computer science, and mathematics disciplines, working directly on digital platform analysis for electoral security contexts.