Internet-based research has become useful for data collection, particularly because it reduces the time and resources required for recruitment. Although participant recruitment using social media is a scientifically and ethically sound methodology for many studies, this approach attracts fraudulent participants and Internet bots which can pose serious threats to sample validity and data integrity. We present several case examples of research studies in which bots were encountered and the procedures used to address them. In addition, we provide an overview of strategies researchers can use to mitigate the risks associated with Internet-based recruitment methods.
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Patricia R. Lawrence, Clinical Assistant Professor & Director of Project Healthy Grandparents, Byrdine F. Lewis College of Nursing and Health Professions, Georgia State University, Atlanta, GA.
Melissa C. Osborne, PhD, MPH, Assistant Professor, Wellstar School of Nursing, Kennesaw State University, Kennesaw, GA.
Dhruvangi Sharma, Nursing Service Coordinator, Project Healthy Grandparents, Byrdine F. Lewis College of Nursing and Health Professions, Georgia State University, Atlanta, GA
Regena Spratling, Professor, Byrdine F. Lewis College of Nursing and Health Professions, Georgia State University, Atlanta, GA.
Christina J. Calamaro, Director of Nursing & Allied Health Research and Evidenced Based Practice, Children's Healthcare of Atlanta, Associate Professor, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA
Published online: January 28, 2023
Publication stageIn Press Corrected Proof
Conflicts of interest: None to report.
Copyright © 2023 Published by Elsevier Inc. on behalf of National Association of Pediatric Nurse Practitioners.