Using C4.5 Algorithm to Gain Insights on Stakeholder Engagement and Use of Artificial Intelligence on Social Media in Dementia Caregiving Disparity Research

We applied machine learning techniques to build models that predict perceived risks and benefits of using artificial intelligence (AI) algorithms to recruit African American informal caregivers for clinical trials and general health disparity research via social media platforms. In a U.S. sample of 572 family caregivers of a person with Alzheimer's disease and related dementias (ADRD), our application of the J48 algorithm (C4.5) revealed an interesting trend. African American family members of a person with ADRD were more likely to see the benefits of using AI on social media to ease the burden of recruitment, regardless of age, ethnicity, gender, and level of education. However, white family caregivers, particularly those aged 25-34 with graduate degrees, were more cautious and prone to perceive risks of using AI on social media for recruitment in research. This caution underscores the need for further research and understanding in this area.