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Islamophobic language is a prevalent challenge on online social interactionplatforms. Identifying and eliminating such hatred is a crucial step towards afuture of harmony and peace. This study presents a novel paradigm foridentifying and explaining hate speech towards Islam using graph neuralnetworks. Utilizing the intrinsic ability of graph neural networks to find,extract, and use relationships across disparate data points, our modelconsistently achieves outstanding performance while offering explanations forthe underlying correlations and causation.

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks