CyberWell Report Warns AI-Generated Antisemitism Is Rapidly Expanding Across Major Social Media Platforms
TEL AVIV, Israel — A new report released by CyberWell has found that antisemitic content generated through artificial intelligence tools expanded dramatically across major social media platforms over a thirteen-month period, raising concerns about online hate, platform moderation, and the growing sophistication of digital propaganda.
The report examined hundreds of AI-generated antisemitic posts published between January 2025 and February 2026. Researchers found that the content collectively generated more than 30 million views and more than 2.8 million engagements across social media platforms.
According to the report, widely available AI tools including OpenAI’s Sora, Google’s Veo, X’s Grok, and Suno were used to mass-produce fabricated antisemitic videos, audio clips, images, and narratives. Researchers said the AI-generated material often blended manipulated content with authentic footage, making the posts more difficult for users and moderators to identify as false or deceptive.
CyberWell said some of the content specifically targeted children and younger users. The report found that AI-generated antisemitic music, gaming content, and parody-style videos frequently appeared within youth-oriented digital spaces linked to games such as Roblox and Minecraft.
Researchers also reported that some Holocaust denial and antisemitic content appeared alongside material intended to groom or sexualize minors on social media feeds.
The organization said the spread of AI-generated antisemitic content accelerated significantly following the October 7, 2023 Hamas attacks against Israel. While such content existed prior to the attacks, CyberWell said social media amplification intensified afterward, prompting the organization to formally incorporate AI-generated antisemitism into its ongoing monitoring and research methodology.
The report identified another major escalation point during the June 2025 conflict involving Iran, Israel, and the United States. CyberWell researchers documented what they described as a sharp increase in the cross-platform dissemination of AI-generated antisemitic material during that period.
“Artificial intelligence has fundamentally changed the scale and speed at which antisemitism can be produced and distributed online,” CyberWell founder and CEO Tal-Or Cohen Montemayor said in a statement.
“Generative AI now allows bad actors to industrialize hate, producing high-impact content that can reach millions, with enforcement often coming only after it has already been widely amplified,” she added.
According to the report, 79 percent of the antisemitic content analyzed appeared on video-based platforms including TikTok, Instagram, and YouTube. Researchers found that short-form video formats dominated the content ecosystem and were often tailored to appeal to younger audiences through humor, parody, music, and viral trends.
CyberWell also found that posts glorifying or encouraging violence against Jews accounted for 33 percent of the content analyzed, but generated 41 percent of total engagement. Researchers said this demonstrated that the most extreme forms of online antisemitism spread more rapidly and reached larger audiences than other forms of hate content.
The report compared platform moderation practices and found significant differences in enforcement rates.
According to the findings, TikTok accounted for 36 percent of the antisemitic content reviewed, but also demonstrated the highest enforcement rate at 88 percent. Instagram generated the highest engagement rate at 65 percent despite accounting for only 25 percent of the posts studied.
By contrast, YouTube and X recorded significantly lower removal rates, at 28 percent and 20 percent respectively. CyberWell attributed part of the disparity to the absence of explicit AI-content enforcement frameworks on some platforms.
The report noted that even when platforms eventually removed problematic material, moderation actions were frequently delayed long enough for content to accumulate hundreds of thousands or millions of views before deletion.
“Platforms must move beyond disclosure and invest in systems that identify harmful narratives at scale, including those embedded in audio, visuals and coded formats that evade traditional detection,” Cohen Montemayor said.
She also called for stronger cooperation between technology companies, policymakers, and external monitoring organizations to address the rapid evolution of AI-generated hate content online.
CyberWell describes itself as an independent technology-focused nonprofit organization dedicated to combating antisemitism online. The organization monitors English and Arabic social media content using AI-based systems and applies the International Holocaust Remembrance Alliance working definition of antisemitism when reviewing and cataloguing online material.
The organization maintains what it describes as the first open database of verified antisemitic social media posts and works with technology companies and digital platforms to improve policy enforcement and moderation practices.
