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…

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.

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.

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…

 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)…

Co-produced with Builders For Tomorrow Executive Summary ADL has identified extensive issues with antisemitic and anti-Israel bias on Wikipedia in multiple languages. These issues include 1) a coordinated campaign to manipulate Wikipedia content related to Israel, the Israeli-Palestinian conflict, and similar issues, in which a group of editors systematically evade Wikipedia’s rules to shift balanced narratives toward skewed ones, spotlighting criticism of Israel and downplaying…

by Dr. Kat Schrier, Professor and Director of Games & Emerging Media at Marist University  29 min read Executive Summary This report shows there was hate and harassment in about half of the online multiplayer game sessions that ADL asked a group of participants to play using a range of religious, ethnic, and national identities.  Previous research by ADL and others has repeatedly suggested that online games are spaces where hate and harassment are rampant; we set out to…

Executive summaryFalse and misleading election narratives are surging on social media platforms in the lead up to the US presidential election. Since 2022, at least three major platforms have weakened their rules against disseminating election misinformation. Of these, X/Twitter also appears to have rolled back enforcement against hateful election misinformation.    Ahead of this election, a flood of narratives has surged rehashing antisemitic tropes and pushing anti-immigrant…

A look at the 10 most prevalent trends in antisemitic messaging, tactics, and patterns post-Oct. 7

Executive Summary Platforms are still failing to take action on antisemitic hate reported through regular channels available to users. Researchers at the ADL Center for Technology and Society (CTS) tested how well five major platforms enforced their policies against hateful content in two areas: antisemitic conspiracy theories and the term “Zionist” used as a slur.    Most platforms only took action when ADL escalated the reports through direct channels, and even…