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2025 was the third highest year on record for antisemitic incidents since the Anti-Defamation League (ADL) began tracking them in 1979.
ADL's research and data on antisemitism provides a bridge between history, current events, and students' lived experiences. Explore the Global 100.
Meta CEO Mark Zuckerberg posted a video to Facebook in January 2025 announcing dramatic changes to the company’s content moderation policies. In the clip, the 40-year-old executive shared his commitment to restoring free expression and to making sure that “people can share their beliefs and experiences” on Meta platforms. In reality, our research has shown that these policy changes have resulted in a dramatic increase of antisemitism and extremism on Meta’s…
A data-driven look at anti-Jewish bias, attitudes towards Israel, and campus climate, with implications for universities and institutional action.
ADL study finds popular open-source LLMs can easily be manipulated by malicious actors to produce antisemitic, extremist, and dangerous content amid weak safety guardrails.
A groundbreaking study supported by ADL found that fact-based dialogues with a trained AI chatbot durably reduced antisemitic conspiracy beliefs and increased favorability toward Jews.
ADL examined the strategic evolution of anti-Israel activism on U.S. campuses and provides recommendations for universities to respond proactively to changing tactics.
The Ratings and Assessments Institute’s (RAI) 2025 Academic Association Integrity Index, The State of Antisemitism in Professional Academic Associations, reveals a problem that extends far beyond faculty meetings or disciplinary debates. When bias takes hold in professional academic associations, it shapes the ideas, frameworks, and standards that guide entire fields and seeps into curricula, research, and public discourse, quietly shaping how students, future professionals and the wider…
This joint ADL-Jewish Federations research shows the normalization of antisemitism and its effects on American Jews’ mental health and feelings of safety.
Over the past two years, Pennsylvania has faced a broad range of extremist incidents, driven by a diverse mix of ideological motivations and groups.
Surveyed faculty report widespread antisemitism on campuses and in associations, with growing professional, emotional, and mental health impacts.
This white paper examines the double standard in Norway’s sovereign wealth fund, revealing that Israeli companies face the highest exclusion rate of any country.
Research by the ADL Center for Tech & Society (CTS) found that the term ‘false flag’ ranked as the second most popular term on Reddit in a sample of conversations about the antisemitic Boulder attack and the fifth most popular following the D.C. Capitol Jewish Museum attack.
A new ADL survey found that a substantial number of Americans justify or excuse violence against Jews while most still reject antisemitism and want action taken against it.
On social media and gaming platforms, hate and harassment thrive in closed online spaces, which lack the visibility and accountability of more open or public ones.
ADL’s RAI and CCAE found high rates of antisemitism in independent K-12 schools, especially within curricula, with insufficient response from administrators.
Artificial intelligence is rapidly reshaping how people consume and trust information—including what books they read. Amazon, the world’s largest bookseller, uses Large Language Models (LLMs) to generate short, snappy summaries of customer reviews. While this may be useful when applied to bedsheets or kitchen appliances, applying AI to book reviews—without human oversight—is proving to be deeply problematic. We found that AI-generated reviews are promoting books that…
In 2024, ADL tabulated 9,354 antisemitic incidents across the United States.
Co-produced with Builders For Tomorrow Executive SummaryADL research shows that four leading LLMs, particularly Llama, display bias against Jews and Israel. LLM bias in other areas has already been highlighted; this report provides the most comprehensive evaluation to date of anti-Jewish and anti-Israel bias in major LLMs—GPT (OpenAI), Claude (Anthropic), Gemini (Google), and Llama (Meta). In 2025 and beyond, the importance of large language model (LLM)…