We leverage a pretrained language model by prompt learning for fake news detection. •. We propose Knowledgeable Prompt Learning, injecting knowledge into ...
A hierarchical dual-view model for fake news detection guided by discriminative lexicons · Computer Science. International Journal of Machine Learning and…
Jun 16, 2024 · Abstract:Most Fake News Detection (FND) methods often struggle with data scarcity for emerging news domain. Recently, prompt learning based ...
Sep 1, 2022 · First, we apply prompt learning to FND, through designing one sophisticated prompt template and the corresponding verbal words carefully for the ...
Cui, L., Seo, H., Tabar, M., Ma, F., Wang, S. Lee, D. (2020). Deterrent: Knowledge guided graph attention network for detecting healthcare misinformation. In ...
This repository contains the source code of the IPM paper "Fake news detection via knowledgeable prompt learning" by Gongyao Jiang, Shuang Liu, Yu Zhao, Yuehen ...
Apr 9, 2023 · First, we incorporate prompt learning into multimodal fake news detection. Prompt learning, which only tunes prompts with a frozen language ...
tive method of guiding fake news detection through prompt learning using a pre ... Fake news detection via knowledgeable prompt learning. In- formation ...
Our framework can detect, with promising accuracy, fake news across different domains without any prior knowledge or training on fake content derived from ...
Missing: knowledgeable | Show results with:knowledgeable
An awesome paper list of fake news detection (FND) and rumor detection with papers. FND methods are divided into context-based and social media-based ...