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

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

20 April 2022
Yongchun Zhu
Qiang Sheng
Juan Cao
Shuokai Li
Danding Wang
Fuzhen Zhuang
    AI4CE
ArXivPDFHTML

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

8 / 8 papers shown
Title
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue
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
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Sungwon Park
Sungwon Han
Xing Xie
Jae-Gil Lee
Meeyoung Cha
55
1
0
17 Jun 2024
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in
  Fake News Detection
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
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
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
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
24
74
0
26 Jun 2022
Characterizing Multi-Domain False News and Underlying User Effects on
  Chinese Weibo
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
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
1