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Research

Publications

  • Jentsch, C.; Lee, E. R.; Mammen, E.: Time-dependent Poisson reduced rank models for political text data analysis. Computational Statistics and Data Analysis, 142, 106813. Submitted.
  • Jentsch, C.; Lee, E. R.; Mammen, E.: Poisson reduced rank models with an application to political text data. Submitted.
  • Rieger, J.; Koppers, L.; Jentsch, C.; Rahnenführer, J.: Improving reliability of Latent Dirichlet Allocation by assessing its stability using clustering techniques on replicated runs. Submitted.
  • Rieger, J.; Rahnenführer, J.; Jentsch, C.: Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. Submitted.
  • Müller, H. (2020): Donald Trump as an economic uncertainty factor. Ifo-Schnelldienst, 63 (1): 26–29. https://www.ifo.de/DocDL/sd-2020-01-2020-01-22_1.pdf.
  • 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. https://www.bertelsmann-stiftung.de/de/publikationen/publikation/did/eine-verschwindende-institution/.
  • 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. Accepted for publication.
  • 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. https://joacm.org/index.php/joacm/article/view/1139.
  • Müller, H.; von Nordheim, G.; Boczek, K.; Koppers, L.; Rahnenführer, J. (2018): The value of words. How digital methods help to link communication science and economics. Publizistik 63 (4): 557–582. https://link.springer.com/article/10.1007%2Fs11616-018-0461-x.
  • Müller, H.; Porcaro, G.; von Nordheim, G. (2018): Tales from a crisis. Diverging narratives of the euro area. Bruegel Policy Contribution, Issue 03. http://bruegel.org/wp-content/uploads/2018/02/PC-03_2018-150118.pdf.
  • Müller, H.; Porcaro, G.; von Nordheim, G. (2018): Don’t put the blame on me: How different countries blamed different actors for the Eurozone crisis. LSE Blog. https://blogs.lse.ac.uk/europpblog/2018/03/01/dont-put-the-blame-on-me-how-different-countries-blamed-different-actors-for-the-eurozone-crisis/.
  • von Nordheim, G. (2019): Journalism in the Age of Singularization. Inter-media perspectives through computational methods. Cumulative Doctoral Thesis. Technical University Dortmund. Institute for Journalism.
  • von Nordheim, G.; Boczek, K.; Koppers, L.; Erdmann, E. (2018): Digital Traces in Context. Reuniting a Divided Public?. Tracing the TTIP Debate on Twitter and in Traditional Media. International Journal of Communication, 12, 548-569. http://ijoc.org/index.php/ijoc/article/view/ 5976.
  • von Nordheim, G.; Boczek, K.; Koppers, L. (2018): Sourcing the Sources. An analysis of the use of Twitter and Facebook as a journalistic source over 10 years in The New York Times, The Guardian and Süddeutsche Zeitung. Digital Journalism. https://www.tandfonline.com/doi/full/10.1080/21670811.2018.1490658.

Lectures

  • Boczek, K.; Koppers, L.; Rieger, J.; von Nordheim, G. (2018): tosca (tools for statistical content analysis). Presentation of a new R package for content analysis. 20th Annual Conference of the Methods Division of the German Communication Association (DGPuK). https://cran.r-project.org/web/packages/tosca/index.html.
  • Koppers, L.; Rahnenführer, J. (2018): What statistical methods of text mining can do. Scicar 2018.
  • Fuchsloch, S.; Boczek, K.; von Nordheim, G. (2017): Legal Challenges of Using Text Mining for Communication Studies. Association of Internet Researchers Conference. https://www.conftool.net/aoir2017/index.php?page=browseSessions&form_session=336&presentations=show.
  • Boczek, K.; von Nordheim, G.; Koppers, L. (2017): Patterns of Journalists. Use of Expert Sources in Newspapers from Britain, Germany and the U.S.. A ten-year comparison. The Future of Journalism Conference.
  • Boczek, K.; von Nordheim, G.; Koppers, L. (2017a): Anyone still com(pli)menting Merkel's policy? Availability, extent and word usage of the comments sections of Spiegel.de articles on Angela Merkel during the refugee crisis. ICA 2017 Preconference.
  • Erdmann, E.; Boczek, K.; Koppers, L.; von Nordheim, G.; Pölitz, C.; Molina, A.; Morik, K.; Müller, H.; Rahnenführer, J.; Kersting, K. (2016): Machine Learning meets Data-Driven Journalism. Boosting International Understanding and Transparency in News. 33rd International Conference on Machine Learning (ICML 2016). https://arxiv.org/abs/1606.05110.
  • Fuchsloch, S.; von Nordheim, G.; Boczek, K. (2016): Unlocking Digitized Public Spheres. Research Opportunities and Legal Challenges of Using Text Mining for Content Analysis. 18th Annual Conference of the Methods Division of the German Communication Association (DGPuK).
  • Boczek, K.; von Nordheim, G.; Koppers, L. (2016): Update of a classic. Examples of the combination of manual content analysis with latent dirichlet allocation. Annual meeting of DGPuK 2016.
  • Koppers, L.; Boczek, K.; von Nordheim, G.; Müller, H.; Rahnenführer, J. (2016): Quantifying the quality of text selection in large media corpora. DAGStat 2016.
  • Koppers, L.; Boczek, K.; von Nordheim, G.; Müller, H.; Rahnenführer, J. (2015): Modeling topic careers in print media. 61. Biometrical colloquium.
  • Boczek, K.; von Nordheim, G.; Koppers, L.; Molina, A. (2015): Failure of early warning system due to dominant narratives. A discourse field analysis using latent dirichlet allocation. Annual meeting of DGPuK 2015.