Author Identifier (ORCID)
Abstract
Values are important building blocks of political ideologies and are frequently invoked in political debates. Yet, because values are abstract, understanding how they are expressed in real-world discourse, and how this varies across contexts, remains a challenge. In this paper, we introduce a large-scale, expert-annotated dataset of value expression in political text, comprising news articles and political manifestos across nine languages. The dataset is grounded in the refined theory of human values (Schwartz et al., 2012) and was developed through an iterative process of annotation guideline development, annotator training, and expert curation. Value annotations capture both the type of value expressed and its evaluative framing, distinguishing whether values are expressed as attained or constrained. The final dataset comprises 2648 texts and 74,231 sentences across nine languages. This resource enables systematic, cross-linguistic analysis of value expression in political communication and provides a benchmark for developing and evaluating computational models of value detection.
Keywords
annotation, cross-cultural, human values, political discourse, value expression
Document Type
Journal Article
Date of Publication
10-1-2026
Article Number
276
E-ISSN
15543528
ISSN
1554351X
Volume
58
Issue
10
PubMed ID
42625026
Publication Title
Behavior Research Methods
Publisher
Springer
School
School of Education
RAS ID
100643
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Scharfbillig, M., Reitis-Münstermann, T., Stefanovitch, N., Kiesel, J., Brock, P. S., Sneddon, J., Cartier, E., Ardag, M., Arieli, S., Daniel, E., Dobewall, H., Karl, J., Krasteva, A., Oeschger, T. P., Petasis, G., Russo, L., Seddone, A., Tamo-Larrieux, A., Van Herk, H., . . . Ye, S. (2026). ValuesML: A new multilingual dataset for values detection in news and political manifestos. Behavior Research Methods, 58, Article 276. https://doi.org/10.3758/s13428-026-03092-z