Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 17, 2026

Multimodal Analysis of Microplastics in Drinking Water using a Silicon Nanomembrane Analysis Pipeline
09:10

Multimodal Analysis of Microplastics in Drinking Water using a Silicon Nanomembrane Analysis Pipeline

Published on: June 13, 2025

1.3K

Analysis of Water Fluoridation Debates on Meta Platforms Using Advanced Machine Learning Approaches.

N Torwane1, R Lalloo1, D Ha1

  • 1The University of Queensland, School of Dentistry, Brisbane, QLD, Australia.

JDR Clinical and Translational Research
|September 15, 2025
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

492
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
492

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

From Evidence to Engagement: Understanding Online Resistance to Community Water Fluoridation for Public Health Communication-A Qualitative Study.

Journal of public health dentistry·2026
Same author

The Use of Silver Fluoride for Oral Health and Well-Being in Aged Care Residents: Protocol for a Cluster Randomized Controlled Trial.

JMIR research protocols·2026
Same author

Integrating Oral Health in General Health National Policy Frameworks for Older Adults: Scoping Review.

Gerodontology·2026
Same author

Translating Observational Data Into Public Health Action: Reducing Early Childhood Caries Burden Related to Socioeconomic Disparities.

Community dentistry and oral epidemiology·2026
Same author

Combating Misinformation in the Digital Age: A Machine Learning Approach to Protect Community Water Fluoridation and Promote Oral Health Equity.

Journal of public health dentistry·2026
Same author

Achieving Consensus on Oral Health in Aged Care: Findings From an Australian e-Delphi Study.

Journal of public health dentistry·2026

Social media sentiment on community water fluoridation (CWF) is mixed, with negative opinions peaking in 2017-2019. Monitoring online discourse is crucial for addressing misinformation and building trust in public health initiatives.

Area of Science:

  • Public Health
  • Health Communication
  • Social Media Analysis

Background:

  • Community water fluoridation (CWF) is a recognized public health measure.
  • Social media significantly influences public perception of health interventions.
  • Misinformation on platforms like Facebook and Instagram fuels mistrust in CWF.

Purpose of the Study:

  • To analyze public sentiment and discourse surrounding CWF on social media.
  • To identify trends and key themes in online discussions about CWF.
  • To provide data-driven insights for public health communication strategies.

Main Methods:

  • Collected 109,117 posts from Facebook and Instagram (2014-2023).
  • Utilized advanced sentiment analysis models to categorize opinions.
Keywords:
Sentiment Analysishealth communicationnatural language processingpreventive dentistrypublic opinionsocial media

Related Experiment Videos

Last Updated: Jan 17, 2026

Multimodal Analysis of Microplastics in Drinking Water using a Silicon Nanomembrane Analysis Pipeline
09:10

Multimodal Analysis of Microplastics in Drinking Water using a Silicon Nanomembrane Analysis Pipeline

Published on: June 13, 2025

1.3K
  • Examined themes related to health benefits, safety, and trust.

    • Main Results:

    • Overall sentiment: 42.1% positive, 39.1% negative, 18.8% neutral.
    • Negative sentiment surged 2017-2019, influenced by misinformation.
    • Positive sentiment has shown recent recovery; key themes include health benefits and safety concerns.

    Conclusions:

    • Social media sentiment analysis is vital for understanding public perception of CWF.
    • Targeted communication strategies can counter misinformation and enhance trust.
    • Findings support evidence-based public health policies and interventions.