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Tobias Schmidt (M.A.)

Responsibilities

Responsibilities

  • Doctorate at the Chair of Economic-Policy Journalism
  • Lecture: Fundamentals of Text Mining using R
  • Research with Dortmund Center for data-based Media Analysis (DoCMA)
  • Counselling

Contact

Emil-Figge-Str. 50
44227 Dortmund
Germany

Room 3.504

Email: send email

Tel.: 0231 755 8287

Fields of research and teaching

  • Since October 2020 research assistant at the Chair of Economic-Policy Journalism
  • Research: Economic narratives, media coverage of inflation, European public sphere
  • Teaching: Text mining/speech and language processing
  • Project collaboration in the "Data Competence Network" (DaCoNet) and the Research Center DoCMA

Background

  • 10/2020: Master thesis “Mario Draghi: eight years of reporting on the former ECB President. A German-French comparison using LDA-supported content analysis”
  • Since 11/2018: Free-lancing copywriter and concept designer
  • 10/2017-10/2020: Studies of Economics and Journalism (M.A.) (TU Dortmund)
  • 10/2016-02/2018: Student assistant (tutor) at the chair for marketing for the field of market research (TU Dortmund)
  • 07/2016: Bachelor thesis “Acceptance and security risks of wearable technologies within the internet of tings”
  • 06/2015-06/2016: Student assistant at the chair of service management (Fernuniversität Hagen)
  • 10/2012-07/2016: Studies of Economics (B. Sc.) (TU Dortmund)
  • Internships at taz (department: ecology and economy) and Handelsblatt (department: investigative research)

Publications

Preprints and Conference Talks

  • Schmidt, T., Lange, K. R., Reccius, M., Müller, H., Roos, M., & Jentsch, C. (2025). Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models. Ruhr Economic Papers. Link

  • Lange, K. R., Schmidt, T., Reccius, M., Müller, H., Roos, M., & Jentsch, C. (2025). Narrative shift detection: A hybrid approach of dynamic topic models and large language models. Proceedings of the Text2Story’25 Workshop. Link

  • Schmidt, T. (2025). Narrating Inflation: How German EconomicJournalists explain Post-Covid Price Rises. DoCMA Working Paper #14. Link

  • Schmidt, T., Hornig, N. (2024). (Un)covering Europe. Foreign Entity Recognition in Large Text Corpoa: A Fine-Tuned LLM Approach. Poster Presentation at the International Conference for Computational Social Science (IC2S2).

  • Müller, H., Schmidt, T., Rieger, J., Hornig, N., & Hufnagel, L. M. (2023). The inflation attention cycle: Updating the Inflation Perception Indicator (IPI) up to February 2023. A research note. DoCMA Working Paper #13. Link

  • Müller, H., Mourlon‐Druol, E., Porcaro, G., Schmidt, T. (2022). You'll Never Talk Alone: What Media Narratives on European Reforms Reveal about a Polity in the Making. EU3D Research Paper #27 Link

  • Lange, K.-R., Reccius, M., Schmidt, T., Müller, H., Roos, M., und Jentsch, C. (2022). Towards extracting collective economic narratives from texts. Ruhr Economic Papers #963. Link
  • Müller, H., Schmidt, T., Rieger, J., Hufnagel, L. M., & Hornig, N. (2022). A German inflation narrative. How the media frame price dynamics: Results from a RollingLDA analysis (No. 9). DoCMA Working Paper. Link

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