Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

This paper tackles fake news detection interactively, where human insight can be continually combined with an automated system, enabling better social media representation quality. We show how minimal interactions can propagate through a graph-based framework to lead to performance improvements.

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