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Dr. Christoph Kling

B 114
+49 221 47694-459

My core research topic is about topics - probabilistic topic models, to be precise!

Topic models typically detect topics by co-occurrences of words on text documents. I include contexts - such as geographical coordinates - to detect co-occurrences of words in documents and the context space.
Besides topic modelling, I'm generally interested in probabilistic modelling for aiding research in the social sciences.

In my free time, I'm politically active (e.g. fighting for data privacy), am member of a humanistic club and go biking


Kling, C. (2016). Probabilistic models for context in social media.
Kling, C. C., Posch, L., Bleier, A., & Dietz, L. (2016). Topic model tutorial: A basic introduction on latent Dirichlet allocation and extensions for web scientists. In W. Nejdl, Hall, W., Parigi, P., & Staab, S. (Eds.), WebSci (p. 10). ACM. Retrieved from
Fay, D., Haddadi, H., Seto, M. C., Wang, H., & Kling, C. C. (2015). An exploration of fetish social networks and communities. Corr, abs/1511.01436. Retrieved from
Vogel, I. C., Milde, J., Stengel, K., Staab, S., Kling, C. C., & Kunegis, J. (2015). Glaubwürdigkeit und Vertrauen von Online-News. Datenschutz Und Datensicherheit, 40(5), 1--5.
Kling, C. C., Kunegis, J., Hartmann, H., Strohmaier, M., & Staab, S. (2015). Voting Behaviour and Power in Online Democracy: A Study of LiquidFeedback in Germany's Pirate Party. In Proc. Int. Conf. on Weblogs and Social Media. Retrieved from
Kling, C. C., Kunegis, J., Sizov, S., & Staab, S. (2014). Detecting Non-Gaussian Geographical Topics in Tagged Photo Collections. In WSDM'14: Proceedings of the 7th International Conference on Web Search and Data Mining. Retrieved from
Paulin, A. (2014). Through Liquid Democracy to Sustainable Non-Bureaucratic Government. In CeDEM 2014 (p. 205--217).
Tenorio-Fornés, A., & Hassan, S. (2014). Towards an Agent-supported Online Assembly: Prototyping a Collaborative Decision-Making Tool. In COLLA 2014, The Fourth International Conference on Advanced Collaborative Networks, Systems and Applications (p. 72--77).
Kling, C., & Gottron, T. (2011). Detecting Culture in Coordinates: Cultural Areas in Social Media. In DETECT'11: Proceedings of the International Workshop on DETecting and Exploiting Cultural diversiTy on the Social Web (pp. 11-15).
Kling, C., Sizov, S., & Staab, S. (2011). Virtual Field Research with Social Media: A Pilot Case of Biometeorology. In Poster Proceedings of ACM WebSci '11 - Third Int. Conference on Web Science. Koblenz.
Leskovec, J., Huttenlocher, D., & Kleinberg, J. (2010). Governance in Social Media: A Case Study of the Wikipedia Promotion Process. In Proc. Int. Conf. on Weblogs and Social Media.
Minka, T. (2000). Estimating a Dirichlet Distribution. Retrieved from
Loewenstein, G. (1999). Experimental economics from the vantage-point of behavioural economics. The Economic Journal, 109(453), 25--34.
Straffin, P. D. (1994). Power and Stability in Politics. Handbook Of Game Theory With Economic Applications, 2, 1127--1151.
Straffin, P. D. (1977). Homogenity, Independence and Power Indices. Public Choice, 30, 107--118.
Banzaf, J. (1965). Wheighted Voting Does Not Work: a Mathematical Analysis. Rutgers Law Review, 19, 317--343.
Mann, I., & Shapley, L. S. (1960). Values of large games, IV: Evaluating the electoral college by Monte-Carlo techniques.
Shappley, L. S., & Schubik, M. (1954). A Method for Evaluating the Distribution of Power in a Committee Situation. Am. Polit. Sci. Rev., 48, 787--792.