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M-Stance: A Multi-Target, Multilingual and Multi-Cultural Stance Detection Dataset towards EU Refugee Crisis
dc.contributor.author | Zhifan, Sun | |
dc.contributor.author | Andreas, Waldis | |
dc.contributor.author | Yongxin, Huang | |
dc.contributor.author | Anamaria, Segesten | |
dc.contributor.author | Iryna, Gurevych | |
dc.date.accessioned | 2025-02-24T14:40:17Z | |
dc.date.available | 2025-02-24T14:40:17Z | |
dc.date.issued | 2025-02-24 | |
dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4480 | |
dc.description | M-STANCE is a multilingual, multi-target and multi-cultural stance detection (SD) dataset. It covers social media posts from 2014 and 2019 related to the migration crisis in EU and covers four languages: English, German, Italian and Polish. In this dataset, we first propose a list of broad targets, which are further subcategorized into fine-grained targets. The fine-grained targets cover the fine-grained aspects of each broad targets. For instance, "refugees" is the fine-grained target of broad target "migrants". The targets of the dataset is annotated by LLM and the stance is annotated by humans. We also conducted cross-cultural annotation between polish and English-German on both directions. In cross-cultural annotation, the posts in the source language are translated to the target language and annotated by speakers of the target language. The resulting cross-culturally annotated dataset can be found under the directory *x-culture*. | de_DE |
dc.language.iso | en | de_DE |
dc.rights | Creative Commons Attribution 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Stance Detection | de_DE |
dc.subject.classification | 1.14-03 Angewandte Sprachwissenschaften, Computerlinguistik | de_DE |
dc.subject.classification | 4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren | de_DE |
dc.subject.ddc | 400 | |
dc.title | M-Stance: A Multi-Target, Multilingual and Multi-Cultural Stance Detection Dataset towards EU Refugee Crisis | de_DE |
dc.type | Dataset | de_DE |
dc.description.version | v1.0.0 | de_DE |
tud.unit | TUDa |