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Daraj / Saheeh Masr

1 verified, source-linked AI implementation documented in 2025.

LebanonMiddle East & North AfricaGlobal / Multinational
Cases
1
Active since
2025
Peak stage
2
Controversies
0

Where the AI sits

Editorial Production1

AI implementations

2025

'Framing Gaza'

AI-powered media analysis project examining how Western English-language news outlets framed Gaza coverage; collaboration between Daraj (pan-Arab independent investigative outlet) and Saheeh Masr (Egyptian fact-checking outlet); platform hosted on anmat.media; analysed more than 25,000 articles from 16 English-language mass-media platforms across the United States, United Kingdom, Germany and France; applies Association Rule Mining (ARM) via the Apriori algorithm to identify patterns in frames, salience and bias-adjacent indicators; journalism-first, human-in-the-loop workflow avoids black-box AI systems; converts unstructured news coverage into structured comparable signals; dataset published on Kaggle; workshops held with MENA journalists to help them use dataset findings in their own reporting; won WAN-IFRA African Digital Media Awards 2026 Best AI-Driven News Product; jury praised it as 'an exceptional and courageous contribution to AI in journalism' with 'rigorous methodological transparency' and capacity to 'surface systemic editorial bias at scale'

Verification & Fact-Checking2 – Adoption2 – AI-Assisted Human
Tool: Association Rule Mining (ARM) / Apriori algorithm; anmat.media platform; Kaggle public dataset; custom NLP pipelineSource ↗

Context

Daraj / Saheeh Masr is one of 4 organizations in Lebanon documented in the index, which holds 5 cases from the country. Its work spans 1 function type, including Verification & Fact-Checking, documented across 124 organizations worldwide.

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Part of J·Index — The Journalism AI Index. Every case carries a live source link. Cite with attribution; bulk reproduction is not licensed. Data licensed CC BY-NC 4.0.