WAEI: An intelligent chatbot for helping fighting the pandemic infodemic.

Almurthada, Yahya and Ghaleb, Mukhtar and Alomari, Mohammad Ahmed and Al-Balatah, Ibrahim Ahmed (2024) WAEI: An intelligent chatbot for helping fighting the pandemic infodemic. In: 1st International Conference on Emerging Technologies for Dependable Internet of Things, ICETI 2024.

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Abstract

The World Health Organization (WHO) began warning of a possible upcoming epidemic called monkeypox, while humanity is still suffering from the consequences of the latest epidemic. In addition to various health issues caused by the Covid-19 pandemic, an “infodemic” accompanied the virus that led to the spread of many fake news about the virus and possible medication treatments. This fake news led to the emergence of huge mass panic causing stress and anxiety and might lead to death. This paper proposes an intelligent Chatbot called WAEI (Arabic term means awareness in English) to increase the awareness of pandemic risks, methods of prevention, and precautionary measures. WAEI fight the infodemic by producing responses based on its knowledgebase that was formed from credible sources, namely the WHO. The Chatbot uses Natural Language Understanding (NLU) to infer its responses. 308 volunteers evaluated the proposed chatbot. The volunteers’ responses were statistically analyzed to measure whether the Chatbot is resourceful, coherent, and achieves user satisfaction. Precision, recall and F1 metrics shows improvement in accuracy, which reach 83% accuracy in responding to users’ inquiry. WAEI is of great value and has been proposed at the right time for the health sectors as it gives a good experience in using technology and smart systems to quickly handle infodemic effectively by providing necessary awareness for any potential foreseen diseases.

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	NURHASHIRAH BORHAN
Date Deposited:	31 Jul 2026 07:36
Last Modified:	31 Jul 2026 07:36
URI:	http://eprints.utem.edu.my/id/eprint/30124
Statistic Details:	View Download Statistic

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