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Analysis of Water Fluoridation Debates on Meta Platforms Using Advanced Machine Learning Approaches
1The University of Queensland, School of Dentistry, Brisbane, QLD, Australia.
JDR Clinical and Translational Research
|September 15, 2025
Summary
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.
- 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.
