Dinsinfo-Demasked is a research and technology initiative that focuses on using Large Language Models (LLMs) to discover disinformation trends among the global south.

The “Disinfo Demasked” project addresses the global threat of information disorders affecting countries in the Global South. This initiative focuses on analyzing propaganda and disinformation targeting the Arabic-speaking world. By leveraging AI and LLMs, the project unveils the underlying narratives in these disinformation campaigns.

Data for Crisis is an open data platform designed to support data journalism practices where journalists, media practitioners, researchers, and media outlets can benefit simultaneously. It is a place to find, analyze, and investigate data to gain insights about marginalized communities in times of crisis.

The Data for Crisis Initiative was developed by SocialLab in cooperation with Deutsche Welle Akademie and supported by the German Federal Ministry for Economic Cooperation and Development (BMZ).

SocialLab, in collaboration with a leading laboratory corporation in Europe, SYNLAB, developed a robust AI system to support medical diagnostics in clinics and labs. The project serves as an asset for existing labs and clinics by supporting the decision-making process of physicians and clinical medical doctors. The product is currently being integrated and tested in many EU countries and licensed under the EU medical certification programs.

Key Features
Rule Based Model, Machine Learning Models, Cloud Solution, Dashboards, and FeedBack System