dEFEND: A System for Explainable Fake News Detection
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 2961-2964, 2019.
deep learning explainable machine learning fake news
Despite recent advancements in computationally detecting fake news, we argue that a critical missing piece be the explainability of such detection--i.e., why a particular piece of news is detected as fake--and propose to exploit rich information in users' comments on social media to infer the authenticity of news. In this demo paper, we p...More
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