Portrait illustration of Amr Sobhy

Amr Sobhy

Media, Politics and Computation

I study how news media construct political meaning — framing, ideology, editorial position — using computational methods at Le French News Lab, the research lab I founded in Paris to study the French media ecosystem at scale.

Before that: youth policy at the Arab League, technology and policy advisory for Internews Europe, an MSc in Public Policy and Management from Birkbeck, University of London as a Chevening Scholar, and an EMBA from Quantic. In another life, I published poetry in classical Arabic.

Along the way: Forbes' 30 Most Promising Young Entrepreneurs in Africa, Top 100 Influential Young Africans, the Anzisha Prize, a Data Journalism Award nomination, two World Summit Youth Awards, and a US patent.

I came to research by building. Thirteen years as a product leader and founder across AI, fintech (Linkurious, Finary) and B2B SaaS — making systems that move information (PushBots), make it findable (IPtrace and currencystack, both acquired by apiLayer), and turn it into public accountability (MorsiMeter, Mwazna, Zabatak).

Work featured on

Selected Papers

  1. FrenchNews-7: Benchmarking Cross-Publisher French News Editorial Desk Classification The 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 15th International Joint Conference on Natural Language Processing (AACL-IJCNLP), 2026.
  2. FrIdéo: French News Outlet Ideology Scoring via Multi-Source Evidence Fusion and Distancing-Aware Lexical Scoring International Conference on Natural Language and Speech Processing (ICNLSP), 2026.
  3. Framing by Wording, Framing by Selection: A Large-Scale Two-Dimensional Audit of French News Headlines, 2022–2025 International Conference on Natural Language and Speech Processing (ICNLSP), 2026.
  4. Conflict or Strategy? Asymmetric Role Framing of La France insoumise and Rassemblement National in French News Headlines, 2022–2025 Preprint, Le French News Lab, 2026.