DRIVE: An adjustable parallel architecture based on evidence awareness for fake news detection

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Mou Cong, Lu Liu, Jiayu Han, Beibei Zhu, Xiaosong Yuan, Tao Peng

Published: 01 Jan 2025, Last Modified: 26 Sept 2025Expert Syst. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We introduced external evidence to the model.•We proposed an adjustable weight resampling method.•We designed branch weights to extract both local and global dependencies.•We compared the performance of current baselines with the DRIVE.