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

Key Points

• The research aims to explore how machine learning and deep learning can detect misinformation related to community water fluoridation.
• Utilized machine learning and deep learning models for misinformation detection
• Integrated equity-focused communication strategies with technological tools
• Analyzed the impact on public trust and oral health equity
• Detected CWF-related misinformation effectively across social media platforms
• Showed potential to sustain public trust in CWF practices
• Indicated reduced oral health inequities through improved communication