Detecting support and opposition to e-cigarette prevention messages on social media
Official title: Using Innovative Machine Learning to Detect Organized Support and Opposition to E-cigarette Use Prevention Campaign Messaging on Twitter and TikTok
Funded at National Opinion Research Center · NIH-10875443 · Data updated 2026-11-12
This study looks at how social media, like Twitter and TikTok, affects how people view campaigns aimed at preventing e-cigarette use, and it hopes to find ways to make these campaigns more effective by understanding what people think about them.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | National Opinion Research Center NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $655,424 |
| NIH project number | 5R01CA283038-02 |
| Project ID | NIH-10875443 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include young individuals who are active on social media and may be influenced by e-cigarette messaging.
✕Less likely to help
Patients who do not engage with social media or are not part of the youth demographic may not benefit from this research.
What this research studies
This research investigates how social media platforms like Twitter and TikTok influence public perception of e-cigarette prevention campaigns. By utilizing advanced machine learning techniques, the study aims to identify organized support and opposition to these campaigns, particularly in the context of the current media landscape filled with competing messages. The findings could help improve the effectiveness of anti-vaping campaigns by understanding how they are received by the public and what factors contribute to their success or failure.
Why it matters
Potential benefit: If successful, this research could enhance the effectiveness of e-cigarette prevention campaigns, ultimately reducing youth vaping rates.
How similar studies have gone: While there is strong evidence supporting anti-smoking campaigns, this specific approach using machine learning in the context of e-cigarette prevention is relatively novel and has not been extensively tested.
Where this research is happening
-
National Opinion Research Center
Chicago, United States Active
Researchers
- Principal investigator: Feng, Miao — National Opinion Research Center
- Study coordinator: Feng, Miao
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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.