JCS — Judenhass Classification System

To use: Navigate to x.com, find any post, and look for the small cube-shaped icon at the far right of the post's action bar (to the right of the bookmark and share buttons). Click it to classify the post. The classification card will appear directly on the page. The JCS Browser Extension brings the Judenhass Classification System (v0.4.0) to your X/Twitter feed, letting you analyze posts for antisemitic content using a rigorous, ICD-10-style academic taxonomy developed by Hexagonal Sentinel, Inc. How it works: Click the JCS icon on any tweet to classify it. The extension identifies what type of anti-Jewish content is present (if any), how it functions, and whether it uses explicit, implicit, or coded language — all using a structured classification framework validated against a corpus of 14,000+ documented instances. What you get: A determination: ANTISEMITIC, LIKELY ANTISEMITIC, BOUNDARY, LEGITIMATE, or NOT RELEVANT One or more operations, each with a chapter code identifying the type (e.g., D01 = Banking/Finance stereotypes, L04 = Demonization of Israel) and a mechanism code showing how the hatred functions (e.g., .4 = Scapegoating, .5 = Moral Inversion) Comorbidity detection: a single post can contain multiple independent antisemitic operations — the extension identifies and classifies each one separately Cross-cutting mechanisms that characterize the overall rhetorical posture of a post An expression modifier per operation (Explicit, Implicit, or Coded) A severity rating (S.1 through S.4) An educational "What does this mean?" panel explaining each code A "Details" panel on comorbid classifications showing the model's rationale for identifying multiple operations The Israel Criticism Decision Tree: For content about Israel and Zionism, the extension applies a seven-question Decision Tree based on established academic criteria to distinguish legitimate political criticism from antisemitic content. Criticism of Israeli policy is not inherently antisemitic — the Decision Tree exists precisely to make that distinction. Decision Tree results are tracked per operation, so mixed-content posts receive accurate, independent evaluations. The taxonomy: The JCS organizes anti-Jewish hatred into 14 chapters (A–M plus X) with 400+ specific codes, covering religious anti-Judaism, racial antisemitism, economic stereotypes, conspiracy theories, Holocaust denial and inversion, violence incitement, coded language/dog whistles, and anti-Zionist antisemitism. Every classification uses dual coding: a chapter code (what type) plus a mechanism code (how it functions). Posts with multiple types of antisemitic content receive multiple codes — like a patient with multiple diagnoses. Privacy: The extension never stores the original text of any tweet. Tweet text is converted to an irreversible hash immediately upon receipt. No personally identifying information is collected. See our full privacy policy for details. Built by Hexagonal Sentinel, Inc., a nonprofit research organization based in Brooklyn, New York. The JCS is an open academic framework — learn more at hexagonalsentinel.org.