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Digital Library

The State of Antisemitism in America 2024–2025: Findings and Recommendations for Major Digital Platforms

Topic:

Antisemitism & Antizionism

Principal Investigators:

American Jewish Committee (AJC)
Data collection conducted by SSRS (public opinion research firm)

Study Date: 

2025

Source:

American Jewish Committee (AJC)
Produced in partnership with CyberWell

Key Findings:

Scale and normalization of antisemitism online

  • 73% of American Jews experienced antisemitism online in 2025, the highest level recorded in this survey series.

  • 19% were personally targeted, and among those who experienced it, 21% felt physically threatened.

  • Exposure is even higher among younger Jews, with 29% personally targeted.

Central role of social media platforms

  • Antisemitism is most frequently encountered on major platforms: Facebook (54%), Instagram (40%), YouTube (38%), X (37%), TikTok (23%).

  • Among the general public, 74% of those who saw antisemitism encountered it online, making social media the dominant environment for exposure.

Behavioral impact on Jewish users

  • 39% of American Jews avoided posting content that identifies them as Jewish or expresses Jewish views, reflecting self-censorship driven by fear.

  • A majority (55%) report changing behavior more broadly due to antisemitism.

  • Nearly 9 in 10 Jews feel antisemitism is a serious problem, and most report feeling less safe as Jews in the U.S.

Israel-related content and perception dynamics

  • Social media plays a major role in shaping views about Israel: 67% of U.S. adults report seeing content about the October 7 attacks and the war on social media.
    Of those, 43% say the content is somewhat or mostly negative toward Israel.

  • Social media content meaningfully influences opinion: 38% say it shapes their views at least somewhat.

Underreporting and lack of trust in platforms

  • 65% of Jews who experienced antisemitism online did not report it, largely because they believed nothing would be done.

  • Similar patterns hold for the general public.

  • This reflects low trust in platform enforcement and reporting systems.

Emerging concerns: AI and amplification

  • 65–69% of American Jews are concerned that generative AI will spread antisemitism or lead to antisemitic incidents.

  • Trust in tech companies to prevent antisemitism or bias (including anti-Israel bias) is very low.

Strategic recommendations:

The report argues that current platform approaches are insufficient and calls for a more systemic response:

  • Stronger enforcement: Platforms should proactively detect and remove antisemitic and pro-terror content at scale, rather than relying primarily on user reporting.

  • Clearer policy definitions: Platforms should explicitly address newer forms of antisemitism, including conspiratorial claims that Jews fabricate or orchestrate attacks and broader scapegoating narratives.

  • Detection of evolving content: Improved systems are needed to identify coded antisemitism (memes, emojis, slang) and content embedded in multimedia formats.

  • User protection: Platforms should better protect users from harassment, including earlier intervention before content goes viral and stronger controls over comments and direct messaging.

  • De-incentivizing hate: Platforms should prevent monetization and algorithmic amplification of antisemitic content and penalize repeat offenders across accounts.

  • AI-specific safeguards: Develop antisemitism-specific classifiers and expand human moderation to address AI-generated hate content.

  • Address coordinated manipulation: Detect and limit bot networks and coordinated campaigns that artificially amplify antisemitic narratives.

  • Improve reporting systems: Make reporting easier, more precise (including antisemitism-specific categories), and more transparent.

  • Increase transparency: Provide clearer data on moderation practices, enforcement rates, and algorithmic amplification of harmful content.

Overall, the report frames antisemitism online not just as a content problem but as a system-level issue involving algorithms, incentives, enforcement gaps, and evolving forms of digital expression.

Methodology:

The report is based on two nationally representative surveys conducted by SSRS: one of 1,222 American Jewish adults and one of 1,033 U.S. adults from the general public. Data were collected via online and telephone interviews and weighted to reflect national demographics. The report also incorporates multi-year trend data (since 2019 for Jews and 2020 for the general public), along with platform-specific questions about social media use, exposure to antisemitism, reporting behavior, and attitudes toward AI and online content. In addition to survey data, the report includes qualitative responses and case-based analysis of online content trends.

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