TECHNICAL WHITE PAPER & PATENT PORTFOLIO

An Introduction about the White Paper & pushing the technical frontier

AddressHate changing the way we fight digital hate by going beyond just deleting harmful posts—we’re tackling the problem at its roots. We also fight digital hate in all of its forms, from antisemitism to anti-Asian to anti-Black to islamophobia and beyond. AddressHate’s latest patent-pending research explains how we use cutting-edge technology to track how hate spreads online, from where it starts to how it grows and reaches more people. With AI-powered tools, natural language processing (NLP), and advanced knowledge graphs, we don’t just spot obvious hate speech — AddressHate also detects hidden patterns and coded language that fuel extremism. This breakthrough approach helps researchers, policymakers, and tech developers create smarter, more effective defenses against online hate. If you’re passionate about using AI to make the internet a safer place, this is where real change is happening.

We are redefining the fight against digital hate by moving beyond reactive content moderation to a systemic, data-driven approach that understands hate as a process, not just a post. Our latest white paper lays the foundation for this shift, detailing how GraphDB enables us to map the evolution of hate speech, identifying its origins, networks, and amplification pathways across platforms. By leveraging AI-driven pattern recognition, natural language processing (NLP), and advanced knowledge graphs, we can analyze not just explicit hate speech, but also the subtle, coded, and evolving narratives that fuel online extremism. This paradigm shift positions us at the forefront of anti-hate technology—where machine learning meets real-world intervention, empowering researchers, policymakers, and engineers to build more effective defenses against digital hate at scale. If youʼre passionate about using AI to tackle one of the webʼs most urgent challenges, this is where the future is being built.

What is GraphDB?

GraphDB is an innovative type of database that organizes information like a web of connections—kind of like a map or a social network. Instead of storing data in rows and tables like traditional databases, it stores things (called “nodes”) and the relationships between them (called “edges”). This makes it incredibly easy and fast to see how pieces of information are linked, even across large and complex networks. What makes GraphDB so powerful and exciting is its ability to uncover hidden patterns and connections that would be hard to find otherwise—like tracing how hate spreads online or how people and ideas influence each other. It’s a game-changer for understanding systems where relationships matter.

We freely license our Patent & IP Portfolio to Researchers and other Non-Profits

AddressHate is deeply committed to open-source innovation and fostering a thriving, technology-driven community dedicated to combating hate. As part of this mission, we maintain a robust Patent Portfolio that we freely license for non-commercial use, ensuring that NGOs, academic institutions, and social impact organizations can leverage cutting-edge tools to detect, analyze, and counteract hate speech and harmful online behaviors. By embracing open-source principles and collaborative development, we empower a global network of researchers, engineers, and advocates to continuously refine and expand these technologies, driving forward a collective effort to create safer, more inclusive digital environments. Featured patent-pending IP includes: filing registration TPP90168.

Total Technical Policy Transparency

At AddressHate, we believe the fight against hate is not about politics—it’s about people. Our work is grounded in science, focusing on how language shapes human communication and how information spreads. We don’t follow any political ideology; instead, we are committed to helping communities engage in open, respectful dialogue—without verbal or physical violence. To stay neutral and accountable, we rely on two key principles. First, we use open-source technology, the gold standard for building secure and transparent systems. Second, we have documented every major decision and discussion in our development process from day zero. Nothing has been created behind closed doors. This means our tools are built on evidence and clarity, with every step traceable and open to review.