Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection
Davide Bassi, Dimitar Iliyanov Dimitrov, Bernardo D’Auria, Firoj Alam, Maram Hasanain, Christian Moro, Luisa Orrù, Gian Piero Turchi, Preslav Nakov, Giovanni Da San Martino. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
Authors
- Luisa Orrù (ORCID: https://orcid.org/0000-0002-1661-6227)
- Christian Moro (ORCID: https://orcid.org/0000-0002-7019-8898)
- Preslav Nakov (ORCID: https://orcid.org/0000-0002-3600-1510)
- Davide Bassi (ORCID: https://orcid.org/0000-0003-2025-6559)
- Giovanni Da San Martino (ORCID: https://orcid.org/0000-0002-2609-483X)
- Maram Hasanain (ORCID: https://orcid.org/0000-0002-7466-178X)
- Firoj Alam (ORCID: https://orcid.org/0000-0001-7172-1997)
- Gian Piero Turchi (ORCID: https://orcid.org/0000-0002-2154-5339)
- Bernardo D’Auria (ORCID: https://orcid.org/0000-0002-1272-8352)
- Dimitar Dimitrov (ORCID: https://orcid.org/0000-0003-1308-180X)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.findings-acl.922
- Citations
- 1
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- HORIZON EUROPE Framework Programme