Abstract
This paper reports on the results of preliminary experiments on the detection of persuasion techniques in online news in Polish and Russian, using a taxonomy of 23 persuasion techniques. The evaluation addresses different aspects, namely, the granularity of the persuasion technique category, i.e., coarse- (6 labels) versus fine-grained (23 labels), and the focus of the classification, i.e., at which level the labels are detected (subword, sentence, or paragraph). We compare the performance of mono- verus multi-lingual-trained state-of-the-art transformed-based models in this context.- Anthology ID:
- 2023.bsnlp-1.18
- Volume:
- Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)
- Month:
- May
- Year:
- 2023
- Address:
- Dubrovnik, Croatia
- Venue:
- BSNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 155–164
- Language:
- URL:
- https://aclanthology.org/2023.bsnlp-1.18
- DOI:
- Cite (ACL):
- Nikolaos Nikolaidis, Nicolas Stefanovitch, and Jakub Piskorski. 2023. On Experiments of Detecting Persuasion Techniques in Polish and Russian Online News: Preliminary Study. In Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023), pages 155–164, Dubrovnik, Croatia. Association for Computational Linguistics.
- Cite (Informal):
- On Experiments of Detecting Persuasion Techniques in Polish and Russian Online News: Preliminary Study (Nikolaidis et al., BSNLP 2023)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/2023.bsnlp-1.18.pdf