FOA’s AI
Monitoring Solution
In partnership with Israel's leading tech innovators, FOA has developed a cutting-edge AI system to combat online antisemitism more effectively. Collaborating with Code for Israel and Final, an Israeli tech company, this unique solution was built by volunteers who share FOA's mission.
Powered by an advanced algorithm, the system leverages an interface provided by Cyabra, allowing FOA to monitor and track antisemitic content across multiple platforms instantly. This collaboration has dramatically increased FOA’s capacity to detect and remove harmful content, enhancing the speed and scale of their efforts.
How FOA's Monitoring System Works
Step 1
Collect
Data feeds (automatic):
Community (manual):
Community (manual):
- Report by volunteer
Step 2
Format & Enrichment
Data processing:
- Filtering irrelevant content
- Data normalization
- Data Enrichment (tags, dates, captions, etc.)
Step 3
Analyze
Content analysis and classification:
- AI – automatic classification
- Volunteers - manual classification
Step 4
Block & Monitor
Address social networks:
- Working with social platforms’ content monitoring team
- Volunteers - manual classification
The Impact
The AI system enables FOA volunteers to process nearly ten times more content than before, allowing them to take swift action and get offensive posts removed faster than ever.
Data & Insights
In addition to monitoring, the AI collects data on platform response rates, providing valuable insights into how effectively antisemitic content is being taken down. These insights will be shared with social platforms, researchers, and the public to push for further improvements.
With this innovative AI solution, FOA is more equipped than ever to protect the online space from the spread of antisemitic hate.
