A toolkit to predict and counter vaccine misinformation
IP23-006 VIMP: A Discourse-Aware, Community-Informed Toolkit to Predict Virality and Impact of Vaccine Misinformation Contents
['FUNDING_U01'] · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · NIH-10762193
This study is creating a helpful tool to predict and tackle vaccine misinformation, making it easier for organizations like the CDC to boost vaccine acceptance and vaccination rates by focusing on the most important issues in your community.
Quick facts
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF PITTSBURGH AT PITTSBURGH (nih funded) |
| Locations | 1 site (PITTSBURGH, UNITED STATES) |
| Trial ID | NIH-10762193 on ClinicalTrials.gov |
What this research studies
This research aims to develop a toolkit that uses advanced natural language processing (NLP) techniques to predict the virality and impact of vaccine misinformation. By engaging with community partners, the project will ensure that the toolkit is informed by local needs and contexts, ultimately helping to increase vaccine acceptance and vaccination rates. The toolkit will enable organizations like the CDC to respond more effectively to misinformation by prioritizing which content to address and how to allocate resources. The approach combines data analytics, network simulations, and community input to create a comprehensive solution.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals and communities affected by vaccine misinformation who are seeking accurate information and support for vaccination.
Not a fit: Patients who are not concerned about vaccine misinformation or who have already made decisions regarding vaccination may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance public health responses to vaccine misinformation, leading to improved vaccination rates and better-informed communities.
How similar studies have performed: While the approach of using NLP and community engagement is innovative, similar research has shown promise in addressing misinformation in other health contexts.
Where this research is happening
PITTSBURGH, UNITED STATES
- UNIVERSITY OF PITTSBURGH AT PITTSBURGH — PITTSBURGH, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ROBERTS, MARK STENIUS — UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- Study coordinator: ROBERTS, MARK STENIUS
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.