Papers by Shimaa Ibrahim
A Multi-Task Learning Framework for Modeling Engagement and Topic-Sensitive Responses in Arabic Women’s Discourse (2026.findings-eacl)
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| Challenge: | a corpus of 158k arab Facebook posts spanning women's rights, gender debates, and economic empowerment reveals patterns of public opinion that vary dramatically across regional and cultural contexts. |
| Approach: | They propose a multi-task learning framework that learns audience reaction classification and engagement magnitude regression and non-engagement detection. |
| Outcome: | The proposed model achieves a test macro-F1 of 72.4 and weighted-F1. It measures 158k posts across gender issues, legal rights advocacy, gender identity discussions, and economic empowerment. |