FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

@article{Nguyen2020FANGLS,
  title={FANG: Leveraging Social Context for Fake News Detection Using Graph Representation},
  author={Van-Hoang Nguyen and Kazunari Sugiyama and Preslav Nakov and Min-Yen Kan},
  journal={Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
  year={2020}
}
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection. Unlike previous contextual models that have targeted performance, our focus is on representation learning. Compared to transductive models, FANG is scalable in training as it does not have to maintain all nodes, and it is efficient at inference time, without the need to re-process the entire graph. Our experimental results show that FANG is better at capturing… 
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사용자 그래프 기반 한국어 가짜뉴스 판별 방법 강명훈1,3◦, 서재형, 임희석2,3∗* 서울시립대학교 도시사회학과, 고려대학교 컴퓨터학과, Human-inspired AI 연구소 chaos038527@gmail.com {seojae777,limhseok}@korea.ac.kr Korean Fake News Detection with User Graph
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