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An artificial intelligence approach to automated detection of fluoride-related misinformation on social media

Grant number: 21/10732-5
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): July 01, 2022
Effective date (End): June 30, 2023
Field of knowledge:Health Sciences - Dentistry - Social and Preventive Dentistry
Principal Investigator:Thiago Cruvinel da Silva
Grantee:Matheus Lotto de Almeida Souza
Supervisor: Plinio Pelegrini Morita
Host Institution: Faculdade de Odontologia de Bauru (FOB). Universidade de São Paulo (USP). Bauru , SP, Brazil
Research place: University of Waterloo, Canada  
Associated to the scholarship:19/27242-0 - Fake news in health: the validation of a neural network model for detection of disinformation in Pediatric Dentistry through psychophysiological reactions of internet users, BP.DR


The online health information seeking behavior is increasingly growing supported by the digital hyperconnectivity associated with the need of people to direct efforts to management of their own health. In this context, dental-related misleading information is frequently present on social media, highlighting fluoride. It has particular consequences concerning the development of beliefs that negatively impact the oral health behaviors of people. Hence, the development of tools to identify distinct fluoride-related misinformation on social media, besides support people in the consumption of trustworthy information is desirable. This project aims to develop and evaluate AI-based (artificial intelligence) approach to automatized detection of fluoride-related misinformation on social media. The datasets will be collected via Twitter API. The training, validation, and testing of semi-supervised topic modeling will be performed in Python. After the validation and tests of models, their accuracies and false-positives will be determined aiming the selection of the best performance model for detection of misinformation related to fluoride. (AU)

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