Detecção de fake news em Tweets: Desafios e Adaptações impostas pela COVID-19
DOI:
https://doi.org/10.5753/isys.2022.2286Keywords:
fake news, covid, desinformação, detecçãoAbstract
Uma grande quantidade de desinformação tem atormentado a vida dos cidadãos, especialmente nas redes sociais. Durante a pandemia do coronavírus, a grande quantidade de notícias falsas ou imprecisas sobre o vírus levou a Organização Mundial da Saúde a declarar a situação como uma infodemia. No entanto, poucos recursos estão disponíveis para combater a desinformação em um domínio novo e em evolução, como a pandemia do coronavírus. Esse fato é agravado quando essa desinformação está associada à velocidade de difusão das redes sociais. Nesse caso, a falta de recursos, como métodos genéricos, ferramentas e corpora sobre coronavírus, dificulta o combate a tal desinformação. Nosso trabalho teve como objetivo avaliar os recursos existentes e seus usos potenciais para o domínio específico e efêmero de Covid-19. Além disso, analisamos diferentes estilos de escrita e a necessidade de criar um mecanismo de anotação do conjunto de dados COVID em português para melhorar os mecanismos de detecção. Nossos resultados indicaram o tipo de recursos para combater a desinformação na pandemia e a pontuação F1 de nossas abordagens para detectar desinformação relacionada à rede social Twitter no domínio COVID.
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