ArMeme: Propagandistic Content in Arabic Memes
Abstract: With the rise of digital communication memes have become a significant medium for cultural and political expression that is often used to mislead audience. Identification of such misleading and persuasive multimodal content become more important among various stakeholders, including social media platforms, policymakers, and the broader society as they often cause harm to the individuals, organizations and/or society. While there has been effort to develop AI based automatic system 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 $\sim6K$ 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.
Paper Type: Long
Research Area: Resources and Evaluation
Research Area Keywords: misinformation detection and analysis, fact checking, rumor/misinformation detection, corpus creation, atasets for low resource languages
Contribution Types: Data resources, Data analysis
Languages Studied: Arabic
Submission Number: 316
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