Public Health

Comprehensive Summary

This study done by Diamond-Smith et al. examined the use of social media platforms to recruit Native American and Mesoamerican Indigenous individuals in California for a survey on COVID-19 vaccination and social networks. The team tested several different recruitment methods between 2024 and 2025 including paid advertisements on Facebook and Instagram, outreach through community organizations, and the use of a pre-existing research panel. The survey was adapted for short attention spans on mobile devices and pilot-tested with community advisors for cultural relevance. Despite these efforts, only 137 Native American and 72 Mesoamerican Indigenous participants were recruited, falling quite short of the target sample. A major obstacle that researchers encountered during this study was fraudulent entries: of more than 5,000 total responses, nearly 80% were excluded because they appeared automated or insincere. Although researchers utilized CAPTCHAs and honeypot questions, the bots were able to bypass this preventative measure. Free-text responses proved more useful in screening out invalid data, but the process was resource-intensive. The researchers concluded that rapidly advancing AI-driven fraud makes social media recruitment increasingly unreliable.

Outcomes and Implications

The study illustrates how dependence on social media for participant recruitment can unintentionally exclude the very populations that health research most needs to reach. Underrepresentation of Indigenous groups risks weakening the evidence base for vaccine-related public health programs and widening existing disparities. For clinical and public health practice, this work shows the need to combine online strategies with culturally and linguistically tailored outreach through trusted community networks. It also shows that new technical safeguards will be necessary to protect data quality if digital recruitment is to remain a viable method. Without these adaptations, timelines for completing representative research and translating those findings into equitable care could be deeply slowed.

Our mission is to

Connect medicine with AI innovation.

No spam. Only the latest AI breakthroughs, simplified and relevant to your field.

Our mission is to

Connect medicine with AI innovation.

No spam. Only the latest AI breakthroughs, simplified and relevant to your field.

Our mission is to

Connect medicine with AI innovation.

No spam. Only the latest AI breakthroughs, simplified and relevant to your field.

AIIM Research

Articles

© 2025 AIIM. Created by AIIM IT Team

AIIM Research

Articles

© 2025 AIIM. Created by AIIM IT Team

AIIM Research

Articles

© 2025 AIIM. Created by AIIM IT Team