Webthe results of the paper titled “FANG: Leveraging Social Context for Fake News Detection Using Graph Repre-sentation” [8], written by Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov and Min-Yen Kan. FANG stands for Factual News Graph and is a novel graphical social con-text representation and learning framework for fake news detection. Web(2)We propose the Factual News Graph (FANG), an inductive graph learning framework that effectively captures social structure and engagement patterns, thus improving representation quality. (3)We report significant improvement in fake news detection when using FANG, and we further show that our model is robust in the case of limited train-
Most Influential CIKM Papers (2024-02) – Paper Digest
WebAug 18, 2024 · 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 … Web(2)We propose the Factual News Graph (FANG), an inductive graph learning framework that effectively captures social structure and engagement patterns, thus improving representation quality. (3)We report significant improvement in fake news detection when using FANG, and we further show that our model is robust in the case of limited train- the cycle forge simulator
FANG: leveraging social context for fake news detection using graph …
WebJul 1, 2024 · Appreciating how useful these contextual clues are, Nguyen and Kan — together with their collaborators Dr Preslav Nakov from the Qatar Computing Research Institute and Associate Professor Kazunari … Web(2) We propose the Factual News Graph (FANG), an inductive graph learning framework that effectively captures social structure and engagement patterns, thus improving repre-sentation quality. (3) We report significant improvement in fake news detection when using FANG and further show that our model is robust in the case of limited training data. WebSep 21, 2024 · Nguyen et al. [66] proposed the Factual News Graph (FANG) model which is an inductive heterogeneous network representation architecture, explores relationship among news article, sources and users, and could predict the veracity of social media news spreading online by mining social structure and engagement patterns of individuals. the cycle forge