Generalizing to the Future: Mitigating Entity Bias in Fake News Detection

20 April 2022

Papers citing "Generalizing to the Future: Mitigating Entity Bias in Fake News Detection"

9 / 9 papers shown

Title
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Yuhan Liu Yong Liu Xiaoqing Zhang Xiuying Chen Rui Yan LLMAG 43 0 0 13 May 2025
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue Junyi Chen Mengjia Wu Qian Liu Ying Ding Yi Zhang 33 0 0 31 Dec 2024
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection Sungwon Park Sungwon Han Xing Xie Jae-Gil Lee Meeyoung Cha 58 1 0 17 Jun 2024
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection Beizhe Hu Qiang Sheng Juan Cao Yuhui Shi Yang Li Danding Wang Peng Qi 31 81 0 21 Sep 2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning Hui Liu Wenya Wang Haoliang Li 40 22 0 10 May 2023
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing Qiang Liu Jun Wu Shu Wu Liang Wang OODD CML 25 11 0 25 Apr 2023
Memory-Guided Multi-View Multi-Domain Fake News Detection Yongchun Zhu Qiang Sheng Juan Cao Qiong Nan Kai Shu Ming-hui Wu Jindong Wang Fuzhen Zhuang 26 74 0 26 Jun 2022
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo Qiang Sheng Juan Cao H. Bernard Kai Shu Jintao Li Huan Liu 37 26 0 06 May 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019