Authors
Mario Scharfbillig, Theresa Reitis-Münstermann, Nicolas Stefanovitch, Johannes Kiesel, Paula Schulze Brock, Joanne Sneddon, Emmanuel Cartier, Murat Ardag, Sharon Arieli, Ella Daniel, Henrik Dobewall, Johannes Karl, Anna Krasteva, Thomas Peter Oeschger, Georgios Petasis, Luana Russo, Antonella Seddone, Aurelia Tamo-Larrieux, Hester van Herk, Nazan Avcı, Giuliano Bobba, Pierre Chiron, Ahmet Çoymak, Maria Dagioglou, Dora Katsamori, Ingmar Leijen, Berna Öney, Ricarda Scholz-Kuhn, Emilia Zankina, Sandrine Astor, Petra Auer, Livia Aulino, Anat Bardi, Fiorella Battaglia, Constanze Beierlein, Maya Benish-Weisman, Christina Christodoulou, Patricia R Collins, Irene Coppola, Mafalda Dâmaso, Meike Morren, Einat Elizarov, Naama Erlich, Peculiar Ezeigwe-Ephraim, Ronald Fischer, Maria Cristina Gaeta, Lucilla Gatt, Noam Gerera, Sjoukje Goldman, Frederic Gonthier, Stefanie Habermann, Mina Hristova, Demet Islambay Yapali, Luigi Izzo, Panos Kapetanakis, Reşit Kışlıoğlu, Chaya Koleva, Roberta Koleva, Joshua Lake, Mael Mesplou, Vanina Ninova, Elif Sandal Önal, Shani Oppenheim-Weller, Duygu Ozturk, Ioannis Elissaios Paparrigopoulos, Vladimir Ponizovskiy, Tim Reeskens, Maria Francesca Romano, Torven Schalk, Alina Starovolsky-Shitrit, Oscar Smallenbroek, Ömer Topuz, Christin-Melanie Vauclair, Giuseppe Di Vetta, Sheng Ye
Published in
Behavior research methods. Volume 58. Issue 10. Aug 20, 2026. Epub Aug 20, 2026.
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.
PMID:
42625026
Bibliographic data and abstract were imported from PubMed on 21 Aug 2026.
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