Using AI to encourage quitting vaping on social media
Artificial Intelligence for effective communication to promote vaping cessation on social media
This project uses AI to create and share social media messages to help teens and young adults stop vaping.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-11141855 on NIH RePORTER |
What this research studies
If I vape or see vaping online, researchers will analyze posts on platforms like TikTok, Instagram, and X to learn what makes vaping seem appealing or harmful. They will use AI language models to design messages aimed at discouraging vaping and promoting quitting. The team will refine those messages based on how people react and may pilot sharing them online to see which messages get the best response. The goal is to make prevention messages feel relevant to different groups and reduce interest in e-cigarettes.
Who could benefit from this research
Good fit: Ideal candidates are teens and young adults who currently use e-cigarettes or frequently encounter vaping content on social media.
Not a fit: People who do not use social media, who are not exposed to vaping content online, or who prefer only in-person quitting programs may not benefit directly.
Why it matters
Potential benefit: It could make social media health messages more effective at reaching young people and reducing vaping.
How similar studies have performed: Previous social media public-health efforts have sometimes lowered vaping uptake, but using AI to personalize and scale cessation messages is a relatively new approach.
Where this research is happening
Rochester, United States
- University of Rochester — Rochester, United States (Active)
Researchers
- Principal investigator: Li, Dongmei — University of Rochester
- Study coordinator: Li, Dongmei
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.