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用于可信假新闻检测的置信感知多模态学习的代码与数据仓库

Code and Data Repository for Confidence-Aware Multimodal Learning for Trustworthy Fake News Detection

INFORMS journal on computing · 2025
被引 1 · 同刊同年前 10%
人大 BUTD24ABS 3

中文导读

该仓库提供了一个可信假新闻检测的新框架,包含作者开发的多模态融合与置信度校准方法,并提供了三个在线数据集用于复现论文结果。

Abstract

This repository provides a new framework for trustworthy fake news detection, including the author's developed multi-modal fusion and confidence calibration. Three online datasets are provided to replicate the results in the paper.

计算机科学假新闻检测多模态学习数据挖掘