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

M Scharfbillig; T Reitis-Munstermann; N Stefanovitch; J Kiesel; Schulze Brock Paula; J Sneddon; E Cartier; M Ardag; S Arieli; E Daniel; H Dobewall; J Karl; A Krasteva; TP Oeschger; G Petasis; L Russo; A Seddone; A Tamo-Larrieux; H Van Herk; N Avci; G Bobba; P Chiron; A Coymak; M Dagioglou; D Katsamori; I Leijen; B Oney; R Scholz-Kuhn; E Zankina; S Astor; Petra Auer; L Aulino; A Bardi; F Battaglia; C Beierlein; M Benish-Weisman; C Christodoulou; PR Collins; I Coppola; M Damaso; M Morren; E Elizarov; N Erlich; P Ezeigwe-Ephraim; R Fischer; MC Gaeta; L Gatt; N Gerera; S Goldman; F Gonthier; S Habermann; M Hristova; DI Yapali; L Izzo; P Kapetanakis; R Kislioglu; C Koleva; R Koleva; J Lake; M Mesplou; V Ninova; ES Onal; S Oppenheim-Weller; D Ozturk; IE Paparrigopoulos; V Ponizovskiy; T Reeskens; MF Romano; T Schalk; A Starovolsky-Shitrit; O Smallenbroek; O Topuz; CM Vauclair; G Di Vetta; S Ye

doi:10.3758/s13428-026-03092-z

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

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

M Scharfbillig, T Reitis-Munstermann, N Stefanovitch, J Kiesel, Schulze Brock Paula, J Sneddon, E Cartier, M Ardag, S Arieli, E Daniel, …

Behavior Research Methods (online), Vol.58(10), pp.1-26

2026

DOI: https://doi.org/10.3758/s13428-026-03092-z

Handle:

https://hdl.handle.net/10863/53693

Abstract

Human values

Value expression

Political discourse

Cross-cultural

Annotation

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.

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Details

Title: ValuesML: A new multilingual dataset for values detection in news and political manifestos
Creators: M Scharfbillig - European Commission
T Reitis-Munstermann - Arcadia
N Stefanovitch - Joint Research Centre
J Kiesel - GESIS - Leibniz Institute for the Social Sciences
Schulze Brock Paula
J Sneddon - The University of Western Australia
E Cartier - Joint Research Centre
M Ardag
S Arieli - Hebrew University of Jerusalem
E Daniel - Tel Aviv University
H Dobewall - Finnish Institute for Health and Welfare
J Karl - Dublin City University
A Krasteva - New Bulgarian University
TP Oeschger - University of Basel
G Petasis - National Centre of Scientific Research "Demokritos"
L Russo - Maastricht University
A Seddone - University of Turin
A Tamo-Larrieux - Maastricht University
H Van Herk - Vrije Universiteit Amsterdam
N Avci
G Bobba - University of Turin
P Chiron - Laboratoire Pacte
A Coymak - Abdullah Gül University
M Dagioglou - National Centre of Scientific Research "Demokritos"
D Katsamori - National Centre of Scientific Research "Demokritos"
I Leijen - Vrije Universiteit Amsterdam
B Oney - Carl von Ossietzky Universität Oldenburg
R Scholz-Kuhn - University of Basel
E Zankina - Temple University
S Astor - Laboratoire Pacte
Petra Auer - Free University of Bozen-Bolzano
L Aulino - Università degli Studi Suor Orsola Benincasa
A Bardi - Royal Holloway University of London
F Battaglia - University of Salento
C Beierlein - Hamm-Lippstadt University of Applied Sciences
M Benish-Weisman - Hebrew University of Jerusalem
C Christodoulou - National Centre of Scientific Research "Demokritos"
PR Collins - Edith Cowan University
I Coppola - Università degli Studi Suor Orsola Benincasa
M Damaso - Erasmus University Rotterdam
M Morren - University of Amsterdam
E Elizarov - University of Haifa
N Erlich - Ben-Gurion University of the Negev
P Ezeigwe-Ephraim - Iscte – Instituto Universitário de Lisboa
R Fischer - D’Or Institute for Research and Education
MC Gaeta - Università degli Studi Suor Orsola Benincasa
L Gatt - Università degli Studi Suor Orsola Benincasa
N Gerera - Tel Aviv University
S Goldman - Amsterdam University of Applied Sciences
F Gonthier - Laboratoire Pacte
S Habermann - Royal Holloway University of London
M Hristova - Bulgarian Academy of Sciences
DI Yapali
L Izzo - Università degli Studi Suor Orsola Benincasa
P Kapetanakis - National Centre of Scientific Research "Demokritos"
R Kislioglu
C Koleva - Central European University
R Koleva - Central European University
J Lake - The University of Western Australia
M Mesplou - Laboratoire Pacte
V Ninova - Central European University
ES Onal
S Oppenheim-Weller - Jerusalem College of Technology
D Ozturk - Istanbul Medipol University
IE Paparrigopoulos - National Centre of Scientific Research "Demokritos"
V Ponizovskiy - Durham University
T Reeskens - Tilburg University
MF Romano - Scuola Superiore Sant'Anna
T Schalk - Victoria University of Wellington
A Starovolsky-Shitrit - Tel Aviv University
O Smallenbroek - Joint Research Centre
O Topuz - Abdullah Gül University
CM Vauclair - Iscte – Instituto Universitário de Lisboa
G Di Vetta - Scuola Superiore Sant'Anna
S Ye - East China University of Science and Technology
Publication Details: Behavior Research Methods (online), Vol.58(10), pp.1-26
ISSN: 1554-3528
Series / Volume: 58
Number of pages: 26
Identifiers: (UNIBZ)99574098
991007399451101241
Web of Science ID: WOS:001854329700001
Scopus ID: n.a.
Copyright: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Academic Unit: Faculty of Education
Language: English
Resource Type: Journal article
Author Names String: Scharfbillig M, Reitis-Munstermann T, Stefanovitch N, Kiesel J, Brock Paula Schulze, Sneddon J, Cartier E, Ardag M, Arieli S, Daniel E, Dobewall H, Karl J, Krasteva A, Oeschger TP, Petasis G, Russo L, Seddone A, Tamo-Larrieux A, Van Herk H, Avci N, Bobba G, Chiron P, Coymak A, Dagioglou M, Katsamori D, Leijen I, Oney B, Scholz-Kuhn R, Zankina E, Astor S, Auer P, Aulino L, Bardi A, Battaglia F, Beierlein C, Benish-Weisman M, Christodoulou C, Collins PR, Coppola I, Damaso M, Morren M, Elizarov E, Erlich N, Ezeigwe-Ephraim P, Fischer R, Gaeta MC, Gatt L, Gerera N, Goldman S, Gonthier F, Habermann S, Hristova M, Yapali DI, Izzo L, Kapetanakis P, Kislioglu R, Koleva C, Koleva R, Lake J, Mesplou M, Ninova V, Onal ES, Oppenheim-Weller S, Ozturk D, Paparrigopoulos IE, Ponizovskiy V, Reeskens T, Romano MF, Schalk T, Starovolsky-Shitrit A, Smallenbroek O, Topuz O, Vauclair CM, Di Vetta G, Ye S

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