Reliable, Useful and Accurate Health Knowledge for All

The research program aims at building socio-technical solutions to promote the dissemination of reliable, useful and accurate health information for all stakeholders, including scientific communities, practitioners and layman, using mutlilevel approaches (e.g., assessing the sociotechnical systems, reengineering the content and presentation of health information).

[NOTE] Graduate students with backgrounds in NLP and machine learning, feel free to contact with your CV. 

Ongoing Projects

  • [Funded] Identifying False HPV-Vaccine Information and Modeling Its Impact on Risk Perceptions

    • Bridging theories in risk decision-making, psycholinguistics, natural language processing and machine learning to build computational models for identifying false HPV-Vaccine information and assess its impact on risk perceptions on social media.
    • Collaborators: Dr. Bing Liu (Computer Science, University of Illinois at Chicago, UIC), Dr. Alan Schwartz (Medical Education, UIC), Dr. Rachel Caskey (College of Medicine, UIC)
    • Partner: Sherry Emery (National Opinion Research Center, University of Chicago)
    • Funding Agency: National Cancer Institute (NIH)
    • Current Students: Tre Tomaszewski, Michelle Bak
  • Building a generalized model of misinformation growth in social media

    • Current Student: Michelle Bak
  • Applying infodemiology on HPV vaccine related topics

    • Current Students: Vaishnavi (Vaishu) Myadam, Tre Tomaszewski
  • Examine the effects of profound scientific misinformation

    • Current Students: Michelle Bak, Mia X. Smith
  • Translating health promotion theories to social media data

    • Current Students: Michelle Bak, Morgan Lundy
  • Examining Tik Tok health misinformation and coping behavior for patients with invisible chronic illness

    • Current Student: Morgan Lundy

Completed Projects and Selected Publications

  • Health literacy and comprehension among older patients with hypertension

Chin, J., Moller, D. D., Johnson, J., Duwe, E., Graumlich, J. F., Murray, M. D. & Morrow, D.G. (2018). A multi-faceted approach to promote comprehension of online health information among older adults. The Gerontologist, 58 (4), 686-695. DOI: 10.1093/geront/gnw254

Chin, J., Madison, A., Gao, X., Graumlich, J. F., Conner-Garcia, T., Murray, M. D., Stine-Morrow, E. A. L. & Morrow, D. G. (2017). Cognition and health literacy in older adults’ recall of self-care information. The Gerontologist, 57(2), 261-268. DOI:10.1093/geront/gnv091, PMCID: PMC5881765

Chin, J., Payne, B., Gao, X., Conner-Garcia, T., Graumlich, J., Murray, M. D., Morrow, D. G. & Stine-Morrow, E. A. L. (2015). Memory and comprehension for health information among older adults: Distinguishing the effects of domain-general and domain-specific knowledge, Memory, 23, 577-589. DOI: 10.1080/09658211.2014.912331

Chin, J., Morrow, D. G., Stine-Morrow, E. A. L., Conner-Garcia, T., Graumlich, J. F. & Murray, M. D. (2011). The process-knowledge model of health literacy: Evidence from a componential analysis of two commonly used measures. Journal of Health Communication, 16 (Suppl3), 222-241. DOI: 10.1080/10810730.2011.604702

Current Funding

  • National Cancer Institute (2020-2023)
  • CHAD Pilot Grant (2022-2023)