McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In Memes

Marco Siino


Abstract
One of the most widely used content types in internet misinformation campaigns is memes. Since they can readily reach a big number of users on social media sites, they are most successful there. Memes used in a disinformation campaign include a variety of rhetorical and psychological strategies, including smearing, name-calling, and causal oversimplification, to achieve their goal of influencing the users. The shared task’s objective is to develop models for recognizing these strategies solely in a meme’s textual content (Subtask 1) and in a multimodal context where both the textual and visual material must be analysed simultaneously (Subtasks two and three). In this paper, we discuss the application of a Mistral 7B model to address the Subtask one in English. Find the persuasive strategy that a meme employs from a hierarchy of twenty based just on its “textual content.” Only a portion of the reward is awarded if the technique’s ancestor node is chosen. This classification issue is multilabel hierarchical. Our approach based on the use of a Mistral 7B model obtains a Hierarchical F1 of 0.42 a Hierarchical Precision of 0.30 and a Hierarchical Recall of 0.71. Our selected approach is able to outperform the baseline provided for the competition.
Anthology ID:
2024.semeval-1.9
Volume:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
53–59
Language:
URL:
https://aclanthology.org/2024.semeval-1.9
DOI:
10.18653/v1/2024.semeval-1.9
Bibkey:
Cite (ACL):
Marco Siino. 2024. McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In Memes. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 53–59, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In Memes (Siino, SemEval 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/dois-2013-emnlp/2024.semeval-1.9.pdf
Supplementary material:
 2024.semeval-1.9.SupplementaryMaterial.txt
Supplementary material:
 2024.semeval-1.9.SupplementaryMaterial.zip