Open Source Intelligence (OSINT) refers to the collection and analysis of information from publicly available sources. In the context of antisemitism monitoring, OSINT provides the evidentiary backbone that transforms anecdotal observations into documented, verifiable incidents.

Why OSINT for Antisemitism Monitoring

Traditional approaches to monitoring antisemitism rely primarily on victim reporting. While essential, this approach has a critical limitation: an estimated 74% of antisemitic incidents go unreported. OSINT fills this gap by proactively identifying incidents that victims do not report.

OSINT sources for antisemitism monitoring include: - **Social media platforms**: Twitter/X, Facebook, Instagram, TikTok, YouTube - **Messaging platforms**: Public Telegram channels and groups - **Forums and imageboards**: Reddit, 4chan, specialized extremist forums - **News and media**: Online news outlets, blogs, podcasts - **Government sources**: Court records, parliamentary proceedings, police reports - **Academic and NGO sources**: Research publications, incident databases

Core OSINT Principles

Legality: OSINT uses only publicly available information. It does not involve hacking, unauthorized access, or surveillance. If information requires a password, subscription, or deception to access, it is not open source.

Verifiability: Every piece of information collected should be independently verifiable. Screenshots can be fabricated. URLs can be spoofed. Verification requires cross-referencing across multiple sources.

Proportionality: The scope of investigation should be proportionate to the purpose. Documenting a public antisemitic statement on social media is legitimate. Building comprehensive dossiers on private individuals based on their political views is not.

Ethics: OSINT practitioners must consider the impact of their work. Publishing the identity of an individual who made an antisemitic statement can lead to harassment. Sharing graphic content without context can cause secondary trauma.

The OSINT Cycle

• **Requirements**: Define what you need to know and why
• **Collection**: Gather relevant publicly available data
• **Processing**: Organize, translate, and format raw data
• **Analysis**: Evaluate, cross-reference, and draw conclusions
• **Dissemination**: Share findings with appropriate stakeholders
• **Feedback**: Assess whether findings met requirements

This structured approach distinguishes professional OSINT from casual internet searching.