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The Antisemitism Research Center (ARC) by CAM recently conducted an analysis of 100 English-language posts on X containing the word “Jew” during a random ten-minute window (1:48-1:58 PM ET on Sept. 6).
Of this narrow sample from a platform with hundreds of millions of daily posts, 82% were deemed offensive toward Jews.
The classification was based on clear indicators of antisemitism, including: use of the term as a slur; invocation of derogatory stereotypes such as greed, physical traits, or disloyalty; promotion of conspiracy theories about purported Jewish control of media, finance, or world events; and explicit calls for harm or discrimination targeting Jews.
The remaining 18 posts were either neutral (i.e. factual references), self-referential by Jewish X users, or explicitly critical of antisemitism.
Antisemitism on virtual platforms such as X remains pervasive and alarming, with the word “Jew” serving as a common entry point for hate speech. Such rhetoric often draws on deeply-rooted historical tropes, including accusations of dual loyalty, economic manipulation, or racial inferiority, which not only normalize prejudice but also create echo chambers reinforcing hostility.
The sheer volume in such a short time frame — more than 80 problematic posts in just 10 minutes — highlights systemic failures in content moderation. Filters frequently fail to catch coded or disguised hate speech, leaving Jewish users vulnerable to harassment and elevating the threat of offline dangers, including hate crimes. These risks are compounded by X’s design, which prioritizes virality and controversy, ensuring that toxic content spreads faster and further than positive or neutral discourse.
Even in this tiny window, just 1/144th of a day, the findings are stark: 82 offensive posts out of a total of 100 establishes a troubling baseline. On a platform where posts can reach millions of people within minutes, antisemitic content is not rare but constant and normalized. The 82% rate also underscores how moderation struggles to keep up — many antisemitic posts blend into seemingly neutral or humorous conversations, making them harder to detect. Algorithms exacerbate the problem by boosting contentious replies, creating real-time amplification loops that accelerate the dissemination of hate.
Extrapolating linearly from this 10-minute sample to a full 24-hour period produces an alarming projection. At this sample size, there would be roughly 14,400 posts containing the word “Jew,” with about 11,808 of them antisemitic in nature — 492 per hour.
Such numbers point to an unrelenting flood of online hate, exposing X’s role as a global amplifier of prejudice. Actual figures are likely even higher during news events or geopolitical crises, when antisemitic narratives often spike dramatically.
The findings of this analysis point to an urgent need for stronger AI detection, consistent enforcement of platform rules, and the use of tools that balance the protection of free expression with the safety of targeted communities.
A sampling of the analyzed posts can be viewed below:
