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A Comparative Analysis of the COVID-19 Infodemic in English and Chinese:
  Insights from Social Media Textual Data

A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data

14 November 2023
Jia-xiang Luo
Daiyun Peng
Lei Shi
D. E. Baz
Xinran Liu
ArXiv (abs)PDFHTML

Papers citing "A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data"

4 / 4 papers shown
Title
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
FedMLGNN
80
120
0
17 Feb 2021
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake
  News Detection
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection
Ben Chen
Bin Chen
D. Gao
Qijin Chen
Chengfu Huo
Xiaonan Meng
Weijun Ren
Yang Zhou
63
40
0
14 Jan 2021
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning
  for COVID-19 Fake News Detection
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
Anna Glazkova
Maksim Glazkov
T. Trifonov
66
59
0
22 Dec 2020
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation
  Detection
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
Fatima Haouari
Maram Hasanain
Reem Suwaileh
Tamer Elsayed
87
63
0
17 Oct 2020
1