Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

Understand

With the pandemic of COVID-19, relevant fake news is spreading all over the sky throughout the social media.

• Believing in them without discrimination can cause great trouble to people's life.
• However, universal language models may perform weakly in these fake news detection for lack of large-scale annotated data and sufficient semantic understanding of domain-specific knowledge.
• While the model trained on corresponding corpora is also mediocre for insufficient learning.