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A Comparative Study on COVID-19 Fake News Detection Using Different
  Transformer Based Models

A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models

2 August 2022
Sajib Kumar Saha Joy
Dibyo Fabian Dofadar
Riyo Hayat Khan
M. Ahmed
Rafeed Rahman
    MedIm
ArXivPDFHTML

Papers citing "A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models"

5 / 5 papers shown
Title
Combating Health Misinformation in Social Media: Characterization,
  Detection, Intervention, and Open Issues
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
Canyu Chen
Haoran Wang
Matthew A. Shapiro
Yunyu Xiao
Fei Wang
Kai Shu
17
12
0
10 Nov 2022
Combat COVID-19 Infodemic Using Explainable Natural Language Processing
  Models
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
Jackie Ayoub
X. J. Yang
Feng Zhou
36
125
0
01 Mar 2021
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for
  COVID-19 Fake News Detection
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka
Rachit Bansal
Abhay Kaushik
Shubhashis Sengupta
Tanmoy Chakraborty
FedML
GNN
21
115
0
17 Feb 2021
Evaluating Deep Learning Approaches for Covid19 Fake News Detection
Evaluating Deep Learning Approaches for Covid19 Fake News Detection
Apurva Wani
Isha Joshi
Snehal Khandve
Vedangi Wagh
Raviraj Joshi
GNN
60
110
0
11 Jan 2021
Model Generalization on COVID-19 Fake News Detection
Model Generalization on COVID-19 Fake News Detection
Yejin Bang
Etsuko Ishii
Samuel Cahyawijaya
Ziwei Ji
Pascale Fung
37
36
0
11 Jan 2021
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