Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study.

ABSTRACT:

Background

Although social media has the potential to spread misinformation, it can also be a valuable tool for elucidating the social factors that contribute to the onset of negative beliefs. As a result, data mining has become a widely used technique in infodemiology and infoveillance research to combat misinformation effects. On the other hand, there is a lack of studies that specifically aim to investigate misinformation about fluoride on Twitter. Web-based individual concerns on the side effects of fluoridated oral care products and tap water stimulate the emergence and propagation of convictions that boost antifluoridation activism. In this sense, a previous content analysis-driven study demonstrated that the term fluoride-free was frequently associated with antifluoridation

SUBMITTER: Lotto M 

PROVIDER: S-EPMC10337345 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature