NIH-funded research R37 grant

Monitoring online information and communication gaps about colon cancer screening

Official title: Using Natural Language Processing and Crowdsourcing to Monitor and Evaluate Public Information and Communication Disparities about Colon Cancer Screening

Funded at Utah State Higher Education System--University of Utah · NIH-11322064 · Data updated 2026-11-12

This project uses computer language tools and input from crowd volunteers to find what information people see and share online about colon cancer screening, especially for groups less likely to get screened.

More Colon Cancer research and trials

Quick facts

Grant typeR37 grant
Study typeNIH-funded research
Funding institutionUtah State Higher Education System--University of Utah
NIH-funded
Lab location1 site (Salt Lake City, United States)
Project startApril 15, 2021
Project endFebruary 28, 2027
Funding year2026
Award (this year)$300,160
NIH project number5R37CA259156-06
Project IDNIH-11322064 on NIH RePORTER

Who could benefit from this research

Could help

Adults (21 and older) who are eligible for colon cancer screening or concerned about CRC prevention—especially those from groups with lower screening rates or limited access to accurate online information—are the intended focus.

Less likely to help

People under typical screening age, those who do not use online or social media, or individuals already well-informed about screening may not directly benefit from the project's communication changes.

What this research studies

The team will scan digital and social media using natural language processing to identify messages about colon cancer prevention and screening. Crowd volunteers will help label and interpret messages that are hard for computers to classify. Researchers will compare what different groups encounter online to find gaps or misleading information, including content about risks like alcohol use. Findings will be used to point out where communication could be improved or tailored to people at higher risk.

Why it matters

Potential benefit: If successful, it could make online information about colon cancer screening clearer and better targeted so more people in at-risk groups get screened.

How similar studies have gone: NLP and crowdsourcing have helped monitor and improve messaging in other public-health areas, but applying these methods specifically to colon cancer screening disparities is a newer approach.

Where this research is happening

  • Utah State Higher Education System--University of Utah
    Salt Lake City, United States
    Active

Researchers

  • Principal investigator: King, Andy J — Utah State Higher Education System--University of Utah
  • Study coordinator: King, Andy J

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.