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 … 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 …
Van-Hoang NGUYEN National University of Singapore, …
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- kosher restaurants key west
Tackling Fake News Detection by Continually Improving Social …
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 … WebMay 12, 2024 · Abstract: 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 … 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- kosher restaurants knoxville tn