Exploring the Usability of Persuasion Techniques for Downstream Misinformation-related Classification Tasks

Nikolaos Nikolaidis, Jakub Piskorski, Nicolas Stefanovitch

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Abstract
We systematically explore the predictive power of features derived from Persuasion Techniques detected in texts, for solving different tasks of interest for media analysis; notably: detecting mis/disinformation, fake news, propaganda, partisan news and conspiracy theories. Firstly, we propose a set of meaningful features, aiming to capture the persuasiveness of a text. Secondly, we assess the discriminatory power of these features in different text classification tasks on 8 selected datasets from the literature using two metrics. We also evaluate the per-task discriminatory power of each Persuasion Technique and report on different insights. We find out that most of these features have a noticeable potential to distinguish conspiracy theories, hyperpartisan news and propaganda, while we observed mixed results in the context of fake news detection.
Anthology ID:
2024.lrec-main.613
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
6992–7006
Language:
URL:
https://aclanthology.org/2024.lrec-main.613
DOI:
Bibkey:
Cite (ACL):
Nikolaos Nikolaidis, Jakub Piskorski, and Nicolas Stefanovitch. 2024. Exploring the Usability of Persuasion Techniques for Downstream Misinformation-related Classification Tasks. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 6992–7006, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Exploring the Usability of Persuasion Techniques for Downstream Misinformation-related Classification Tasks (Nikolaidis et al., LREC-COLING 2024)
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https://preview.aclanthology.org/teach-a-man-to-fish/2024.lrec-main.613.pdf
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