List_pubs

(3) Hase, V., Bachl, M., & TeBlunthuis, N. (eds., in preparation). Understanding and Addressing Biases in Computational Social Science. Special Issue in Communication Methods and Measures. (2) Perreault, G., Foxman, M.

(22) Perreault, G., Foxman, M., Maares, P., & Hase, V. (2025). Epistemologies of Digital News Production: Power and Adaptation of Technology in Contemporary Knowledge Production. Digital Journalism. https://doi.org/10.1080/21670811.2025.2462539 Link to article

(7) Hase, V. (accepted). Advancing Cross- and Multi-Platform Research: Understanding Digital News Flows via Computational Methods. In: J. Hendrickx & M. Opgenhaffen (eds.), Research Methods for Social Media Journalism: A Handbook.

(7) Schwabl, P., & Hase, V. (in press). Python for Text-as-Data: Using Word Embeddings to Assess the Diversity of Election-Related Search Queries. In Bernauer, J. & Bernauer, C. (ed.), Doing Quantitative Text Analysis with R: Scraping, Preparing, Visualising and Modelling Data.