Monkeypox Mythbuster: A Monkeypox News Verification Chatbot

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dc.contributor.authorVenorica Soon Siao Chin
dc.date.accessioned2026-04-27T02:25:17Z
dc.date.issued2025
dc.descriptionThe Monkeypox Mythbuster chatbot combats misinformation during health crises through real-time, AI-powered verification. Built on a fine-tuned BERT model, it classifies queries as factual or misleading using ML/NLP techniques and cross-references WHO/CDC sources for reliable responses. Evaluation results showed 89.5% accuracy, 90.2% precision, and an F1-score of 89.4%, while usability testing produced a SUS score of 76.83, placing it in the 95th percentile. A Net Promoter Score of 13.4 and a 93% recommendation rate demonstrated moderate user advocacy. Participants also reported improved confidence and knowledge after using the system. The chatbot shows strong potential as a trusted health communication tool, with future development focused on multilingual expansion and application to emerging health threats.
dc.identifier.urihttps://scholarhub.unimas.my/handle/123456789/486
dc.language.isoEnglish
dc.publisherUNIVERSITI MALAYSIA SARAWAK
dc.relation.ispartofseriesFaculty of Computer Science and Information Technology
dc.subjectMonkeypox, misinformation, chatbot, machine learning, natural language processing, BERT.
dc.titleMonkeypox Mythbuster: A Monkeypox News Verification Chatbot
dc.typeFinal Year Project

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