Compared to traditional paper surveys, online surveys offer a convenient, efficient, and socially distant way to conduct human subjects research. The popularity of online research has grown in recent decades. However, without proper precautions, false respondents pose a serious risk to data integrity. In this paper, we describe our research team’s own encounter with survey fraud, steps taken to preserve the integrity of our study, and implications for future public health research.
HlatshwakoTGShahSJKosanaP, et al.Online health survey research during COVID-19. Lancet Digit Health. 2021;3(2):e76–e77. doi:10.1016/S2589-7500(21)00002-9
2.
TeitcherJEFBocktingWOBauermeisterJAHoeferCJMinerMHKlitzmanRL. Detecting, preventing, and responding to “fraudsters” in internet research: ethics and tradeoffs. J Law Med Ethics. 2015;43(1):116–133. doi:10.1111/jlme.12200
PozzarRHammerMJUnderhill-BlazeyM, et al.Threats of bots and other bad actors to data quality following research participant recruitment through social media: cross-sectional questionnaire. J Med Internet Res. 2020;22(10). doi:10.2196/23021.
6.
DupuisMMeierECuneoF. Detecting computer-generated random responding in questionnaire-based data: a comparison of seven indices. Behav Res Methods. 2019;51(5):2228–2237. doi:10.3758/s13428-018-1103-y
7.
BowenAMDanielCMWilliamsMLBairdGL. Identifying multiple submissions in Internet research: preserving data integrity. AIDS Behav. 2008;12(6):964–973. doi:10.1007/s10461-007-9352-2
8.
van GelderMMHJBretveldRWRoeleveldN. Web-based questionnaires: the future in epidemiology?Am J Epidemiol. 2010;172(11):1292–1298. doi:10.1093/aje/kwq291
