(2022). Automated Image Analysis for Studying Online Behaviour. Research Handbook of Digital Sociology.


(2021). The Rise of Political Influencers - Perspectives on a Trend Towards Meaningful Content. Frontiers in Communication.


(2021). The Politics of Select Committee Assignments in the British House of Commons. Legislative Studies Quarterly.


(2020). Diagnosing Gender Bias in Image Recognition Systems. Socius.

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(2020). Manipulative practices are the norm in political emails: evidence from 100K emails from the 2020 U.S. election cycle. Working Paper.


(2019). Media Bias Towards African-Americans Before and After the Charlottesville Rally. Proceedings of the Weizenbaum Conference 2019: ‘Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life’.


(2019). The Impact of Candidate Selection Rules and Electoral Vulnerability on Legislative Behavior in Comparative Perspective. European Journal of Political Research.

Preprint DOI

(2018). Election proximity and representation focus in party-constrained environments. Party Politics.

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(2018). Ride with Me - Ethnic Discrimination, Social Markets and the Sharing Economy. European Sociological Review.

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(2018). Terror Management and Twitter: The Case of the 2016 Berlin Terrorist Attack. The 15th International Conference on Information Systems for Crisis response and Management.

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(2017). Content Reconstruction of Parliamentary Questions. Combining Metadata with an OCR Process. The 5th International Virtual Conference on Advanced Scientific Results.



Political Influencers in Germany

A pilot project about marketing of political content on social media.

SICSS Bamberg 2019

Summer Institute in Computational Social Science



A Shiny Application for Structural Topic Models


An Interface for Image Recognition in R


A Package for Exploring the Pathways Corpus


  • GESIS - Leibniz-Institut für Sozialwissenschaften, Unter Sachsenhausen 6-8, 50667 Köln, Germany