List_pubs

(3) Hase, V., Bachl, M., & TeBlunthuis, N. (Editors, 2025). Understanding and Addressing Biases in Computational Social Science. Special Issue in Communication Methods and Measures. https://doi.org/10.1080/19312458.2025.2575468 Editorial as Part of the Special Issue

(23) Hase, V., Bachl, M., & TeBlunthuis, N. (2025). Critical, but Constructive: Defining, Detecting and Addressing Bias in Computational Social Science. Communication Methods and Measures. https://doi.org/10.1080/19312458.2025.2575468 PDFLink to open access article

(8) Hase, V., Bachl, M., TeBlunthuis, N., & Widder, D. G. (accepted). Bias in Computational Social Science. In M. Haim & E. Domahidi (Eds.), ICA Handbook of Computational Communication Research. Contact me for PDF

(7) Schwabl, P., & Hase, V. (2025). Quantitative Text Analysis Using R. Scraping, Preparing, Visualising and Modelling Data. In J. Bernauer & A. Wohlmann (Eds.), Doing Quantitative Text Analysis with R: Scraping, Preparing, Visualising and Modelling Data.