ValuesML: A new multilingual dataset for values detection in news and political manifestos
Behavior Research Methods, cilt.58, sa.10, 2026 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 58 Sayı: 10
- Basım Tarihi: 2026
- Doi Numarası: 10.3758/s13428-026-03092-z
- Dergi Adı: Behavior Research Methods
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, BIOSIS, EMBASE, MEDLINE, Psycinfo, Academic Search Ultimate (EBSCO), Social Science Premium Collection (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest), Pharma Collection (ProQuest)
- Anahtar Kelimeler: Annotation, Cross-cultural, Human values, Political discourse, Value expression
- İstanbul Medipol Üniversitesi Adresli: Evet
Özet
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.