Using Natural Language Processing and Crowdsourcing to Monitor and Evaluate Public Information and Communication Disparities About Colon Cancer

Efforts to improve public health communication about colorectal cancer (CRC) and CRC screening (CRCS) require understanding what information is commonly seen by target audiences and consideration of existing information and behavior disparities for populations at higher risk for CRC (e.g., Black Americans). Andy J. King from the Greenlee School of Journalism and Communication at Iowa State uses novel computational approaches to monitor the public communication environment about CRCS, crowdsourcing to engage in formative evaluation of possible message content, and a randomized, controlled trial to validate these computational and crowdsourcing approaches. This NIH-funded project tests novel approaches to monitor and evaluate public health information to inform health communication research and practice.