CTS has developed and introduced products to measure and fight online hate and harassment and create safer online spaces for all. The Online Hate Index (OHI) is a machine learning system that is being trained to detect online hate that targets marginalized groups. The Online Hate Ecosystem Primer maps out the web of connections between and among bad actors, targets, institutions, behaviors, causes and outcomes online. The ADL Social Pattern Library is a resource to show social platform interaction designers and developers how to build platform features that can be used to prevent users from disseminating, and help users report, hateful content.

Online Hate Index (OHI)

The OHI vision is a set of AI classifiers that detect hate affecting vulnerable, marginalized groups on online platforms. The ability to independently measure types of hateful content across an entire platform, and to compare results between and among platforms, is crucial to understanding how much hate exists online and provides an essential check on claims made by tech companies. Such tools are essential for determining whether companies are actually enforcing their anti-hate policies and whether those policies and product interventions actually work. ADL’s OHI antisemitism classifier harnesses the extensive knowledge of ADL’s antisemitism experts alongside volunteers from the Jewish community whose lived experience provides insight into understanding antisemitism and its effects. Our work also provides a model for other civil society organizations rooted in targeted and marginalized communities who want to take an active role in training similar classifiers and providing independent evaluations of the prevalence and reach of hate online.

Online Hate Ecosystem Primer

In order to combat hate online, it’s important to understand the ecosystem in which it thrives. To that end, experts at ADL have developed diagrams that map out the web of connections between and among bad actors, targets, institutions, behaviors, causes and outcomes. The connections often overlap and influence one another. The ecosystem is complex and involves interactions among various actors across multiple ideologies, biases and functions, with the ensuing hate expressing itself in ways that range from subtle harassment to explicit calls for violence.

By visualizing the online hate ecosystem, we can create a shared vocabulary around how online hate arises—the reasons why people engage in hate, the targets of that abuse, the forms the abuse takes, the tools and platforms used to commit or mitigate abuse, and the damaging consequences of hate.


ADL Social Pattern Library

The ADL Social Pattern Library is an anti-hate by design initiative providing a set of product recommendations for social media platforms to help combat online hate, disinformation and extremism. The library includes both visual and interactive examples for how social media platform designers might mitigate hate.

This pattern library is intended as a resource for social media interaction designers. It provides examples of interactive elements and components, described within a scenario.