Abstract
Disability-focused research is vital for informing policies and services that address the unique needs of people with disabilities. However, survey fraud poses a growing threat to the integrity of such research. Fraudulent responses, often facilitated by bots or scammers, disproportionately impact studies with small sample sizes, where even minimal distortion can significantly skew findings and misinform policy decisions. Compounding the issue, traditional fraud detection mechanisms, such as CAPTCHA tasks and automated response-time analysis, often exclude legitimate participants, particularly those who rely on assistive technologies or face accessibility barriers. This commentary examines the recruitment paradox inherent in disability research, where inclusive participation incentives inadvertently invite fraud while restrictive measures risk excluding genuine respondents. To address these dual challenges, we propose adaptive fraud detection tools, participatory design approaches, and equitable incentive structures that balance inclusivity with data integrity. These strategies advance robust, representative findings to support effective and equitable policy development.