Working Papers
Limits of Media Effects
Under review
Dissertation project exploiting a natural shift in the media framing of migration to estimate the effect of framing on voters’ issue attitudes.
Measuring Rhetorical Similarity with Supervised Machine Learning
Working paper on the measurement of rhetorical similarity in political speech.
Working Paper | Github | Slides
Work in progress
Do Issue Attitudes Influence Voting Behaviour? An Experimental Assessment of the Economic Model of Voting
Dissertation project using framing to instrument voters issue attitudes and assess their impact on voting intentions
The Impact of Emphasis Framing on Party Competition
Dissertation project combining transformer models and document embeddings to assess the impact of news framing of migration on political parties’ electoral support
Leading by Example? How Elite Behaviour affects Individual Vaccination Decisions
Ongoing project assessing the impact of party cues on vaccination behaviour
Measuring Media Bias with Cross-Domain Deep Learning
Work together with Tom Arend, looking into cross-domain learning to estimate newspapers’ leanings towards different political parties.
Right-Wing Terrorist Attacks, the Media’s Reactions, and Radical Right Party Support
Ongoing project (with Werner Krause) studying media reactions to radical-right terrorism in Germany
Publications
Die Nationalratswahl 2017 unter besonderer Berücksichtigung der Silberstein-Affäre
Chapter in: Weßels, B., & Schoen, H. (2021). Wahlen und Wähler. Analysen aus Anlass der Bundestagswahl 2017. Springer VS Wiesbaden. Co-authored with Julia Partheymüller and Jakob-Moritz Eberl
Teaching
Supervised Machine Learning with Imbalanced Data
Self-designed workshop introducing different techniques to deal withimbalanced data in supervised classification problems.
May 2022, CompText Conference, Dublin, Ireland
Intro to R and Statistics
Taught two independent labs as addition to Prof. Mark Kayser’s Stats I lecture for Master students, focusing on the R programming language
September - December 2020 and 2021, Hertie School, Berlin, Germany
Academic Blogposts
Classifying Newspaper Bias with Cross-Domain Learning
Can we use party communication to train transformer models detecting newspaper bias? The short answer: no.
May 2021
Silberstein und Kern - hat der Skandal der SPÖ geschadet?
Blog-post (Coauthored with Markus Wagner) on a scandal in the Austrian Lower House Election 2017; also covered by Austrian daily newspaper “Der Standard”.
March 2018
Data
Word embeddings of German Newspaper articles
Word embedding model of over 2.2M German newspaper articles 2013-2021 (Bild, Frankfurter Allgemeine, Spiegel Online, Süddeutsche Zeitung, TAZ, Welt).
August 2021, HU Berlin, Germany
EUSpeech v2.0. A dataset of 11,466 speeches by European Leaders
In charge of data collection using web-scrapers
September 2018 – July 2020, University of Amsterdam, Netherlands
AUTNES Online Panel Study 2017
Responsible for data cleaning, manual coding and preparation of questionnaires.
April 2017 - March 2018, University of Vienna, Austria
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017
Responsible for data cleaning, manual coding and preparation of questionnaires.
April 2017 - March 2018, University of Vienna, Austria
Dormant
Apart - Affective Polarization in Text
Collaborative project (with João Areal Neto and Phillip Mendoza) measuring hostility in parliaments using targeted sentiment analysis
September 2019 – February 2020