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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 24, 2022
Date Accepted: Jun 7, 2023

The final, peer-reviewed published version of this preprint can be found here:

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

Lotto M, Zakir Hussain I, Kaur J, Butt ZA, Cruvinel T, Morita PP

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

J Med Internet Res 2023;25:e44586

DOI: 10.2196/44586

PMID: 37338975

PMCID: 10337345

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Topic modeling analysis of fluoride-related misinformation on Twitter: Infodemiology study

  • Matheus Lotto; 
  • Irfhana Zakir Hussain; 
  • Jasleen Kaur; 
  • Zahid Ahmad Butt; 
  • Thiago Cruvinel; 
  • Plinio P Morita

ABSTRACT

Background:

Online misinformation concerning the side effects of fluoridated oral care products and tap water contributes to the onset and propagation of untrue beliefs that culminate in anti-fluoridation movements.

Objective:

This study aimed to analyze the fluoride-related misinformation on Twitter automatically.

Methods:

21,169 tweets published in English between May 2016 and May 2022 that included the keyword “fluoride-free” were retrieved by Twitter API. Latent Dirichlet Allocation (LDA) topic modeling was applied to identify the salient terms and topics. The similarity between topics was calculated through an intertopic distance map. The total count of misinformation records for each topic and their relevance over time were determined.

Results:

Utilizing a coherence score of 0.542, a total of 3 distinctly distributed salient topics emerged from the LDA topic modeling analysis. Results show that fluoride-related misinformation on Twitter was mainly associated with people’s perception of a healthy lifestyle, followed by the consumption of natural and organic oral care products and recommendations of fluoride-free products and measures. Interest in false content decreased between 2016 and 2019 and increased again after 2020.

Conclusions:

Fluoride misinformation found on Twitter related to a healthy lifestyle. This misleading content probably contributed to the popularization of fluoride-free oral care products and the suspension of community water fluoridation programs. Strategies are needed to address and limit the spread of misinformation on social media.


 Citation

Please cite as:

Lotto M, Zakir Hussain I, Kaur J, Butt ZA, Cruvinel T, Morita PP

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

J Med Internet Res 2023;25:e44586

DOI: 10.2196/44586

PMID: 37338975

PMCID: 10337345

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