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Qatar Computing Research Institute, Qatar
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Arabic hateful memes pose unique challenges that current detection models are ill-equipped to handle, revealing critical gaps in our understanding of online hate.
Merging logical structures with linguistic context allows for a dramatic leap in fallacy classification accuracy, outperforming traditional methods.
A large-scale, multilingual dataset for online polarization detection is now available, offering a benchmark for future research in this critical area.
