Using Python to detect fake news about covid-19: challenges and possibilities
This work aims to report strategies for collecting a dataset in Portuguese for training Artificial Intelligence models to automatically identify fake news about covid-19 disseminated during the pandemic, using Python code. We analyze a fake news detection method based on a Recurrent Neural Network a...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Fundação Oswaldo Cruz (FIOCRUZ) |
| Repositorio: | RECIIS (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:www.reciis.icict.fiocruz.br:article/3253 |
| Acceso en línea: | https://www.reciis.icict.fiocruz.br/index.php/reciis/article/view/3253 |
| Access Level: | acceso abierto |
| Palabra clave: | Fake news Artificial Intelligence Covid-19 Python Misinformation. Noticias falsas Inteligencia artificial Desinformación. Inteligência artificial Desinformação. |
| Sumario: | This work aims to report strategies for collecting a dataset in Portuguese for training Artificial Intelligence models to automatically identify fake news about covid-19 disseminated during the pandemic, using Python code. We analyze a fake news detection method based on a Recurrent Neural Network and supervised learning. We selected a corpus with 7,200 texts collected on websites and news agencies by Monteiro et al. (2018), each one of them previously cataloged as true or false as a training and validation dataset. This model was used to detect fake news about covid-19 in a set of news collected and classified by the authors of this work. The hit rate was 70%. |
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