Our Brandwatch-powered monitor tracks antisemitism queries across X, Reddit, YouTube, Bluesky, Tumblr, Facebook, Instagram, the chan boards, and thousands of news sites and forums. This view shows how much is out there, which platforms carry it, and which coded signals are gaining ground.
Possible antisemitism content over the last 30 days. These numbers are based on keywords, and not human or machine classified.
The terms and phrases with the most movement over the last week.
Daily mention volume
Each line is scaled to that source's own peak in the visible range, so every platform's shape stays readable next to X's much larger raw volume — hover for actual daily counts.
Coded signals over time
Daily volume of our configured lexical signals, rolled into the four families behind the platform Signal Risk Grades.
Live · Brandwatch
Mention counts are antisemitism query matches — leads for analysis, not confirmed hateful posts. Data refreshes once a day from a rolling 30-day collection window.
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Five essentials for interpreting the data, in plain language.
It shows public conversation matching our collection query across the sources listed on the page. Query matches are not all confirmed hate speech, and the results do not represent every post on the internet.
Platform Signal Grades compare the density of antisemitic lexical signals within our query window. They are not grades of overall platform safety or moderation effectiveness.
AI Model Safety reports results from specific published evaluations. Check the study, model version, and test conditions before making comparisons; a benchmark result is not a guarantee of performance on all content.
No. Live views report their collection window, published studies describe a fixed evaluation, and sample views are labeled. When a live source is unavailable, the dashboard shows an unavailable state rather than substituting invented figures.
The Taxonomy page defines the categories, and each published study provides its methodology and supporting evidence. Use these alongside the figures to understand their scope and limitations.
Researchers, policymakers, platforms, journalists, and civil-society groups — anyone who needs solid, structured intelligence on online hate. Really it's for people who have to understand a problem before they can act on it, and who need numbers they can stand behind.