Our public database is a cloud-based platform that is sustained by our back-end, which relies on five core disciplines: big data management, open-source intelligence, machine learning analysis, data collection, and dictionary development.
These disciplines and corresponding technologies allow our dedicated team of open-source intelligence professionals, with specialized antisemitism training, to monitor, identify and vet examples of online antisemitism across five different social media platforms in multiple languages.
Once the examples are vetted they are uploaded and organized onto our live website that is searchable, filterable, and accessible to the public.