Annotating Attitude in Swedish Political Tweets

Anna Lindahl


Abstract
There is a lack of Swedish datasets annotated for emotional and argumentative language. This work therefore presents an annotation procedure and a dataset of Swedish political tweets. The tweets are annotated for positive and negative attitude. Challenges with this type of annotation is identified and described. The evaluation shows that the annotators do not agree on where to annotate spans, but that they agree on labels. This is demonstrated with a new implementation of the agreement coefficient Krippendorff’s unitized alpha.
Anthology ID:
2025.resourceful-1.24
Volume:
Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025)
Month:
March
Year:
2025
Address:
Tallinn, Estonia
Editors:
Špela Arhar Holdt, Nikolai Ilinykh, Barbara Scalvini, Micaella Bruton, Iben Nyholm Debess, Crina Madalina Tudor
Venues:
RESOURCEFUL | WS
SIG:
Publisher:
University of Tartu Library, Estonia
Note:
Pages:
106–110
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.resourceful-1.24/
DOI:
Bibkey:
Cite (ACL):
Anna Lindahl. 2025. Annotating Attitude in Swedish Political Tweets. In Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025), pages 106–110, Tallinn, Estonia. University of Tartu Library, Estonia.
Cite (Informal):
Annotating Attitude in Swedish Political Tweets (Lindahl, RESOURCEFUL 2025)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.resourceful-1.24.pdf