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  • Excerpt of the graph representation of the words associated with “jew” on /pol/. We extract the graph by finding the most similar words ( cutoff at 0.4 cosine distance value), and then we take the 2-hop ego network around “jew. In this graph the size of a node is proportional to its degree (i.e., the number of other nodes it is directly connected to); the color of a node is based on the community it is a member of; and the entire graph is visualized using a layout algorithm that takes edge weights into account (i.e., nodes with similar words will be closer in the visualization).
The Network Contagion Research Institute (NCRI) is a 501(c) organization (nonprofit) that deploys machine learning tools to expose hate on digital social networks within a cross-platform, public-minded, and global framework.

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Funding goes to paying for compute power, grad students, researchers, and engineers to help understand and stop hate.