Behavior research methods · 2026

ValuesML: A new multilingual dataset for values detection in news and political manifestos.

СтатьяНазвание и аннотация: Перевод в очереди

Обработка статьи · этапы, ошибки и управление

Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

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

Аннотация

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.

Предметные рубрики MeSH

Humans Politics Social Values Language

ValuesML: A new multilingual dataset for values detection in news and political manifestos.

Ошибки и ограничения

Аннотация

Предметные рубрики MeSH