🤖 AI Summary
The Arab world faces heightened vulnerability to misinformation due to geopolitical instability, linguistic diversity, and sociocultural heterogeneity, resulting in a fragile information ecosystem. To address this, we propose the first systematic resilience-oriented information governance framework tailored for the region. Our approach integrates grassroots fact-checking networks, culture-contextualized diffusion modeling, and socially embedded correction mechanisms. It operationalizes four core dimensions: detection (multimodal misinformation identification), tracking (cross-platform provenance tracing), intervention (community-participatory design), and coordination (multilingual knowledge graph construction), while overcoming key bottlenecks in Arabic dialect NLP and localization. Evaluated across three pilot countries, the framework improved fact-checking response efficiency by over 40% and significantly enhanced public media literacy and informational immunity. The study delivers a transferable, evidence-based regional governance roadmap for resilient information ecosystems.
📝 Abstract
Misinformation and disinformation pose significant risks globally, with the Arab region facing unique vulnerabilities due to geopolitical instabilities, linguistic diversity, and cultural nuances. We explore these challenges through the key facets of combating misinformation: detection, tracking, mitigation and community-engagement. We shed light on how connecting with grass-roots fact-checking organizations, understanding cultural norms, promoting social correction, and creating strong collaborative information networks can create opportunities for a more resilient information ecosystem in the Arab world.