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Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study
  of COVID-19 Infodemic

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic

22 June 2021
Ye Jiang
Xingyi Song
Carolina Scarton
Ahmet Aker
Kalina Bontcheva
ArXivPDFHTML

Papers citing "Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic"

3 / 3 papers shown
Title
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
Ye Jiang
Yimin Wang
MLLM
34
1
0
16 Jul 2024
Automated Fact-Checking: A Survey
Automated Fact-Checking: A Survey
Xia Zeng
Amani S. Abumansour
A. Zubiaga
HILM
162
94
0
23 Sep 2021
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News
  Detection in English
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
Xiangyang Li
Yu Xia
Xiang Long
Zheng Li
Sujian Li
210
37
0
07 Jan 2021
1