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Patrick Schwabl

Ph.D. Candidate
Department of Media and Communication at LMU Munich
p.schwabl(at)lmu.de


Welcome!

My name is Patrick, I am currently a Ph.D. candidate in Computational Communication Research at the Department of Media and Communication at Ludwig-Maximilians University in Germany. My Ph.D. thesis is supervised my Prof. Mario Haim and Prof. Barbara Plank.
In my thesis I use deep learning methods to find valid numerical measurments of political positions from textual data. In one of my fist conference presentations and in this preprint I sketch my ideas in more detail.

Research Interests

News

Publications

Book chapters

  1. Python for Text-as-Data: Using Word Embeddings to Assess the Diversity of Election-Related Search Queries
    Patrick Schwabl, Valerie Hase
    In Bernauer, J. (ed.), Doing Quantitative Text Analysis with R: Scraping, Prepar-ing, Visualising and Modelling Data. London: Sage, in press
  2. Patrick Schwabl, Julian Unkel, Mario Haim
    In C. Holtz-Bacha (Ed.), Die (Massen-)Medien im Wahlkampf: Die Bundestagswahl 2021. Wiesbaden: Springer V, 2023

Conference posters and papers

  1. ICA23
    Patrick Schwabl, Mario Haim, Julian Unkel
    73rd Annual International Communication Association Conference (73nd ICA Conference), Toronto, 25-29 May 2023 (Session 2311, Part 5)
  2. COMPTEXT23
    Patrick Schwabl
    5th ANNUAL COMPTEXT Conference 2023, Glasgow, 12-13 May 2023 (Panel 17)
  3. DGPuK Methods Conference 22
    Sina Özdemir, Patrick Schwabl
    23. Tagung der Fachgruppe Methoden der Publizistik- und Kommunikationswissenschaft der DGPuK, Munich, Germany, 5-7 October 2022 (Session Panel: Visualisierung, Part 2)
  4. TADA22
    Patrick Schwabl
    4th Text as Data Conference 2022, Cornell Tech, New York City, 6-7 October 2022 (Session A, Part 8)
  5. ICA22
    Patrick Schwabl, Mario Haim, Julian Unkel
    72nd Annual International Communication Association Conference (72nd ICA Conference), Paris, 26-30 May 2022 (Session 3226, Part 6)

Journal papers

Soon to come ;)

Other

  1. Talk
    How (not) to measure political positions using contextual word embeddings in multi-party systems
    Patrick Schwabl
    Presented to NLP Munich NLP Munich, 20 April 2023
  2. Talk
    How (not) to measure political positions using contextual word embeddings in multi-party systems
    Patrick Schwabl
    Presented at Lunchbreak event of the Junior Scholar Network Political Communication (NaPoKo), 18 April 2023
  3. Talk
    Political position scaling with word representations (from contextualized word embeddings)
    Patrick Schwabl
    Presentation at the workshop on AI-Humanity-Society hosted by LMU Munich and TAU University, 05-09 December 2022
  4. Talk
    Algorithmische Biases in Suchmaschinen im Bundestagswahlkampf 2021 [Algorithmic biases in search engines during the German federal election 2021]
    Patrick Schwabl, Julian Unkel, Mario Haim
    Presented at the sprint review of the Bavarian Research Institute for Digital Transformation, 21 September 2021

University teaching & other courses

Services

Honorary offices

Conference Reviewer

Other

I co-host and organize a in-person coding club (aka computational exchange on wednesday) three times every term. Among others, we’ve talked about topics like code style, word embeddings, docker, or data donations in the past. We are very open topic-wise, and also alway welcome new faces! If you live in Munich or are around and interested in Computational Social Science, drop me an Email (p.schwabl@lmu.de)

Funding and scholarships



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