Work

The FIT framework for mitigating participant fraud in online surveys: a synthesis of two international LGBTQ+ social research case studies

Year: 2026

Type: article

Abstract: Participant fraud poses a growing threat to international LGBTQ+ social research, yet existing mitigation recommendations are fragmented and inconsistent across the literature. This paper addresses this gap by synthesizing insights across two case studies of international surveys on LGBTQ+ populations compromised by fraud. Case study 1 (N = 1,707) details a preventative screening process in a survey about LGBTQ+ leisure spaces, combining Qualtrics security tools with geolocation and email checks. Case study 2 (N = 3,681) outlines an eliminative strategy in an LGBTQ+ video gaming survey using 10 fraud indicators analyzed using unsupervised machine learning. Each study found fraud rates of 43–45% (n = 2,540) and fraud check utility varied across studies. Practical context-dependent recommendations and future research directions are synthesized into the feasibility, inclusion, trustworthiness (FIT) framework, emphasizing methodological and ethical trade-offs between competing research demands and the need for dynamic and tailored mitigation strategies.

Source: International Journal of Social Research Methodology

DOI: 10.1080/13645579.2026.2751627

Authors: Ashley S. Brooks, Tin D. Vo, Shelley L. Craig

Institution: University of Toronto

Language: English

Topic: Survey Methodology and Nonresponse

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDGs: Peace, justice, and strong institutions, Gender equality, Reduced inequalities

Open Access status: green

Funder: Social Sciences and Humanities Research Council