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Northwestern University in Qatar, Qatar
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Fine-tuned MARBERTv2 outperforms leading LLMs in Arabic safety classification, revealing critical dialect-specific performance gaps.
Transformer models excel in detecting polarized stances in social media, but significant challenges remain in generalizing across topics and predicting neutral positions.
Finally, a large-scale, ecologically valid Arabic dataset lets researchers study the interplay of discriminatory language and audience response on Facebook.
A new corpus of Arabic social media data offers a unique lens into audience sentiment and engagement around women's empowerment across diverse Arabic dialects and countries.
