AVICO MNF: um software sentinela para o monitoramento de notícias falsas sobre vacinas da COVID

Abstract

During the COVID-19 pandemic, the proliferation of fake news on social media and other platforms has had a serious impact on people’s physical and mental health. This misinformation has led to distrust of health authorities and medical advice, leading to risky behavior. With millions of confirmed cases and hundreds of thousands of deaths, combating fake news is crucial. Researchers are using advanced techniques such as data mining, web scraping, web crawling, machine learning, and deep learning to detect this false information. Despite these advances, challenges such as the need for large volumes of data and the rapid evolution of disinformation tactics persist, requiring multifaceted approaches to address the problem. This paper presents a proposed solution: a sentinel software that allows monitoring of false news about COVID-19 vaccines. Keywords: data mining, text mining, web mining, fake news.