All layers of the political public sphere are producing textual data in vast quantities, and the birth of computational social science opens up new perspectives for their analysis. The aim...

We challenge this traditional view and present a new, semantically aware text-scaling algorithm, SemScale, which combines recent developments in the area of computational linguistics with …

Dec 16, 2025 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Most political NLP models are tested using random splits that ignore how language changes over time. We are examining what happens when you train ideology classifiers on old political texts and test …

Texts conveying different or opposing political positions, but having a significant word overlap (e.g., “Migrants are responsible for the increased crime rates.” vs. “Mi-grants are responsible for fewer …

Sep 22, 2023 · In this talk, I will present our studies on discovering indoctrination frames in historical event descriptions, showcasing their validity for contemporary media studies. I will further discuss the...

Our methodology ensures comparability of political texts and combines various statistical analyses to reliably identify key linguistic characteristics to test our case study.

Dec 14, 2025 · This paper explores an empirical approach to learn more discriminantive sentence representations in an unsupervised fashion. Leveraging semantic graph smoothing, we enhance …

Paper Uses Europeana Archival Summaries Unesco Semantic Clustering Conflict Detection Political Tensions ~75% Accuracy 'selected For Acl 2025 Finds Of Acl Workshop Political...

Jan 26, 2023 · In this paper, I argue that multilingual sentence embedding (MSE) is an attractive alternative approach to language-independent text representation. To support this argument, I …