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Elsevier has established a COVID-19 resource center offering free access to research on the virus, allowing unrestricted reuse in public repositories. The document discusses a proposed explainable natural language processing model using DistilBERT and SHAP to effectively detect COVID-19 misinformation, demonstrating high accuracy and improved public trust through model explanations. The study emphasizes the importance of reliable information during the pandemic and aims to combat misinformation through adva

Author

deepanjali.100311

Language

EN