Work

CLTL at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Transformer Models

Year: 2024

Type: conference-paper

Abstract: We present the CLTL system designed for the ArAIEval Shared Task 2024 on multimodal propagandistic memes classification in Arabic.The challenge was divided into three subtasks: identifying propagandistic content from textual modality of memes (subtask 2A), from visual modality of memes (subtask 2B), and in a multimodal scenario when both modalities are combined (subtask 2C).We explored various unimodal transformer models for Arabic language processing (subtask 2A), visual models for image processing (subtask 2B), and concatenated text and image embeddings using the Multilayer Perceptron fusion module for multimodal propagandistic memes classification (subtask 2C).Our system achieved 77.96% for subtask 2A, 71.04% for subtask 2B, and 79.80% for subtask 2C, ranking 2nd, 1st, and 3rd on the leaderboard.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/2024.arabicnlp-1.51

Authors: Yeshan Wang, Ilia Markov

Institution: Vrije Universiteit Amsterdam

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4402683889

FWCI: 1.312

Cites:

Cited by: 1

Related to: 10