MPFN makes full use of various hierarchical features, fuses information from different modalities, and establishes fine-grained correlations between modalities ...

Oct 29, 2022 · This paper proposes a false information detection via multimodal feature fusion and multi-classifier hybrid prediction. ... ... The original ...

Chi, H., & Liao, B. (0000). A quantitative argumentation-based Automated eXplainable Decision System for fake news detection on social media. Knowledge-Based ...

The model will focus on identifying fake news sources, based on multiple articles originating from a source. we present a novel approach using a Cultural ...

Oct 8, 2024 · Detecting fake news is crucial in the digital age due to its potential negative impact. This study emphasizes the importance of a multimodal ...

Aug 3, 2024 · We propose a multimodal fake news detection method based on multi-view feature fusion and prediction consistency optimization.

Apr 3, 2023 · We present a Multi-grained Multi-modal Fusion Network (MMFN) for fake news detection. Inspired by the multi-grained process of human assessment of news ...

Oct 23, 2024 · This study proposes a model using multimodal fusion to identify fake news, aiming to curb misinformation.

To address these issues, this paper introduces MMFND, a multi-task network guided multimodal fusion framework for fake news detection, combining the Progressive ...

May 23, 2024 · We propose an innovative approach to multimodal fake news detection (IFIS), incorporating both intra-modality feature aggregation and inter-modality semantic ...