San Diego Jewish World staff
Five suggestions for improved AI screening of antisemitic content have been promulgated by CyberWell, a Tel Aviv-based service that consults regularly with Facebook, Instagram, Threads, Tik-Tok, and You Tube.
(1) Work with subject-matter experts to improve model training and evaluation using real-world examples and annotated datasets;
(2) Strengthen moderation across platform features and multimodal formats, including comments, usernames, images, videos and audio;
(3) Improve multilingual accuracy through testing that accounts for dialects, slang, irony and coded language;
(4) Establish clear escalation pathways for human review of complex or context-dependent content, particularly following violent incidents or during rapidly evolving global events; and
(5) Increase transparency through regular reporting on LLM (Large language models) performance, enforcement outcomes, error rates and appeals, while providing users with clearer explanations of content removals.
CyberWell Founder & CEO Tal-Or Cohen Montemayor commented, “Antisemitism constantly evolves through coded language, symbols, cultural references and forms of ‘algospeak’ designed to evade automated detection. AI moderation systems must draw on contextual, linguistic and subject-matter expertise to recognize the antisemitic message, not just the words, while protecting legitimate expression. Social media platforms have also struggled to draw the line between anti-Jewish scapegoating, a classic form of antisemitism, and misinformation and disinformation campaigns that receive different moderation treatment.”
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San Diego Jewish World staff report