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Author

Amal Sunba

3 papers indexed here

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Open access Sep 2026

Collection and Generation of Arabic E-Commerce Text Data: A Study on Deepfake Detection and Dataset Development

Amazon is a major e-commerce platform and one of the primary online destinations for purchasing electronics. On such platforms, sellers use product titles to provide key descriptions of their items, making these titles the first elements that customers read and rely upon when deciding to buy. However, the growing use o...

Funoon Dhaher Albalawi, Amal Sunba, Tarek Tarek · 0 citations
Open access Sep 2026

Building and Evaluating an Arabic Social-Media Dataset for Deepfake Text Detection

A high-quality Arabic dataset spanning six major dialects and seven distinct domains is compiled, providing a representative benchmark for real-world environments and suggesting that the model effectively identifies the stylistic and expressive markers inherent in synthetic conversational Arabic.

Budoor Bader Alshehri, Amal Sunba, Tarek Helmy · 0 citations
Review Aug 2026

ArabiDeepfake: a multi-domain Arabic deepfake-text dataset and cross-domain detection benchmark

ArabiDeepfake provides detailed, reproducible protocols that advance robust Arabic deepfake detection and compares a pooled single model against a five-model ensemble against a five-model ensemble, reporting 95% CIs and McNemar tests.

Amal Sunba, Tarek Helmy · 0 citations

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