ArMeme: Propagandistic Content in Arabic Memes
arxiv(2024)
Abstract
With the rise of digital communication, memes have become a significant
medium for cultural and political expression that is often used to mislead
audiences. Identification of such misleading and persuasive multimodal content
has become more important among various stakeholders, including social media
platforms, policymakers, and the broader society as they often cause harm to
individuals, organizations, and/or society. While there has been effort to
develop AI-based automatic systems for resource-rich languages (e.g., English),
it is relatively little to none for medium to low resource languages. In this
study, we focused on developing an Arabic memes dataset with manual annotations
of propagandistic content. We annotated 6K Arabic memes collected from various
social media platforms, which is a first resource for Arabic multimodal
research. We provide a comprehensive analysis aiming to develop computational
tools for their detection. We will make them publicly available for the
community.
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