Dr. Kilian Buehling

Hello!

I am a computational social scientist trained in Economics and based in Berlin, Germany.

Most of my research is driven by my pursuit to explore how information and knowledge travel through online and offline environments, and how exactly the design of such environments shapes information flows.

I usually start from unstructured, multi-modal data. To answer my questions and transform these data into actionable insights, I draw from a variety of methods, ranging from econometrics and time-series analysis to machine learning, NLP, social network analysis, and qualitative analysis.

Rechte Verschwörungstheorien in hyperparteiischen Medien – Was hätte ein Verbot des Compact-Magazins für das anti-demokratische Online-Ökosystem bedeutet?

Kilian Buehling, Joana D. Becker, Xixuan Zhang, Annett Heft
2025
Wissen schafft Demokratie

The Telegram COVID-19 Protest Dataset 2020-2022

Heidi Schulze, Kilian Buehling, Maximilian Zehring
2025
Computational Communication Research

Beyond Citations: Measuring Idea-level Knowledge Diffusion from Research to Journalism and Policy-making

Yangliu Fan, Kilian Buehling, Volker Stocker
2025
arXiv pre-print

Chat groups as local civic infrastructure: A case study of “Solidary neighborhood help” Telegram groups during the COVID-19 pandemic in Germany

Olga Pasitselska, Kilian Buehling, Emilija Gagrčin
2025
New Media & Society

Veiled conspiracism: Particularities and convergence in the styles and functions of conspiracy-related communication across digital platforms

Kilian Buehling, Xixuan Zhang, Annett Heft
2025
New Media & Society

Please feel free to get in touch!