What if we could use rules, tests, and parameters to isolate hate speech? Can we identify and analyze elements like speaker intent, context, identity, tone, audience, or any number of indicators that transform words into meanings and change an innocuous statement into a verbal assault? Combating the proliferation of online hate speech and understanding its mechanics is a complex undertaking. We believe, however, that it can be done. And one way we are working to do so is by teaching machines to recognize hate.

• hate speech

• Artificial Intelligence
• Natural Language Processing

The Center for Countering Digital Hate's primary goal is to disrupt alliances between hate actors and political actors in digital spaces.

• harassment
• hate speech

• The Tech
• Emerging tech
• Media

Measuring, analysing and countering online hate speech with advanced computational methods

• harassment
• hate speech
• racial equity

• The Tech
• Emerging tech
• Media

ADL H.E.A.T. Map is the first-of-its-kind interactive and customizable map detailing hate, extremist and antisemitic incidents by state and nationwide. ADL Center on Extremism experts developed this unique visualization using data points from information sources including news and media reports, government documents (including police reports), victim reports, extremist-related sources, Center on Extremism investigations and more. ADL H.E.A.T. Map is updated monthly. A compilation of the most recent cases of anti-Jewish vandalism, harassment, and assault may be viewed at the ADL Tracker of Antisemitic Incidents.

• anti-harassment
• hate speech
• racial equity

• Civic maps