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  • Müller, H.; Rieger. J.; Hornig, N. (2021). “Riders on the Storm –the Uncertainty Perception Indicator (UPI) in Q1 2021.”
  • Henrik, M.; Rieger, J.; Hornig, N. (2021). "We're rolling" Our Uncertainty Perception Indicator (UPI) in Q4 2020: introducing RollingLDA, a New Method for the Measurement of Evolving Economic Narratives. 10.17877/DE290R-21974.
  • von Nordheim, G.; Koppers, L.; Boczek, K.; Rieger, J.; Jentsch, C. & Henrik, M.; Rahnenführer, J. (2021). The development of research software as a practical interdisciplinarity. [Die Entwicklung von Forschungssoftware als praktische Interdisziplinarität] Medien & Kommunikationswissenschaft. 1/2021. 80-96. 10.5771/1615-634X-2021-1-80.
  • Rieger, J.; von Nordheim, G. (2021). “corona100d – German-language Twitter datasetof the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV.”DoCMA Working Paper #4, Feb. 2021.doi:10.17877/DE290R-21911.
  • Henrik, M.; Hornig, N.; Rieger, J. (2021). "For the times they are a-changin'" Gauging Uncertainty Perception over Time. 10.17877/DE290R-21878.


  • Jentsch, C.; Lee, E. R.; Mammen, E. (2020): Time-dependent Poisson reduced rank models for political text data analysis. Computational Statistics and Data Analysis, 142, 106813.
  • Jentsch, C.; Lee, E. R.; Mammen, E. (2020): Poisson reduced rank models with an application to political text data. Will be published in Biometrika.
  • Rieger, J. (2020): ldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocations. Journal of Open Source Software, 5(51), 2181.
  • Rieger, J.; Jentsch, C.; Rahnenführer, J.: Assessing the Uncertainty of the Text Generating Process using Topic Models. To appear in EDML 2020. GitHub:
  • Rieger, J.; Koppers, L.; Jentsch, C.; Rahnenführer, J. (2020): Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability using Clustering Techniques on Replicated Runs. .
  • Rieger, J.; Rahnenführer, J.; Jentsch, C. (2020): Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. Natural Language Processing and Information Systems, NLDB 2020. LNCS 12089, pp. 118-125. doi:10.1007/978-3-030-51310-8_11 .
  • Müller, H. (2020): Donald Trump as an economic uncertainty factor. Ifo-Schnelldienst, 63 (1): 26–29.
  • Müller, H.; Boczek, K. (2020): A vanishing institution. 25 years of the World Trade Organization: The WTO in the mirror of the media, study commissioned by the Bertelsmann Foundation.
  • von Nordheim, G.; Rieger, J. (2020): In the distorted mirror of populism - Methodological challenges in the analysis of "secondary gatekeeping"-strategies using the example of the linking practice of "Bundestag" members on Twitter. [Im Zerrspiegel des Populismus – Eine computergestützte Analyse der Verlinkungspraxis von Bundestagsabgeordneten auf Twitter] Publizistik. GitHub:


  • Boczek, K. (2019): Diversity as a journalistic value? An analysis of the use of expert sources in reporting with text mining and classic content analysis. Dissertation. Technical University Dortmund. Institute for Journalism.
  • von Nordheim, G.; Müller, H.; Scheppe, M. (2019): Young, free and biased. A comparison of mainstream and right-wing media coverage of the 2015/16 refugee crisis in German newspapers. Journal of Alternative and Community Media.