Identifying Fraudulent Responses and Imposters in Research Recruitment of Subjects Through Social Media.
OBJECTIVE: The aim of this study was to describe strategies to manage bots and frauds (B/F) during online recruitment of research subjects. BACKGROUND: Bots mimic human responses in surveys using sophisticated algorithms. Fraudulent responses occur when false or misleading information is provided to...
| Publicado en: | Journal of Nursing Administration (JONA) Vol. 55; no. 7; pp. 388 - 395 |
|---|---|
| Autores principales: | , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jul/Aug2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186772109&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186772109 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00020443 1Z5 jtl: Journal of Nursing Administration (JONA) issn: 00020443 maglogo: N pubinfo: dt: Jul/Aug2025 vid: 55 iid: 7 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 186772109 186772109 186772109 10.1097/NNA.0000000000001596 186772109 ppf: 388 ppct: 7 formats: tig: atl: Identifying Fraudulent Responses and Imposters in Research Recruitment of Subjects Through Social Media. aug: au: Webber-Ritchey, Kashica J. Ally, Felisha Galura, Sandra Buck, Jacalyn Brockway, Cindy Chipps, Esther Ponder, Tiffany Simonovich, Shannon D. Spurlark, Roxanne S. Vancil, Barbara Monturo, Cheryl affil: Author Affiliations: Associate Professor (Dr Webber-Ritchey), School of Nursing, College of Science and Health, DePaul University, Chicago, Illinois sug: subj: Research, Nursing Research Subject Recruitment Social Media Chatbot Patient Selection Methods Fraud Prevention and Control Human United States Nurse Managers Multimethod Studies Snowball Sample Descriptive Statistics Validation Studies Motivation Artificial Intelligence Eligibility Determination Collaboration Nursing Organizations Professional Organizations Data Collection, Computer Assisted Data Management Checklists ab: OBJECTIVE: The aim of this study was to describe strategies to manage bots and frauds (B/F) during online recruitment of research subjects. BACKGROUND: Bots mimic human responses in surveys using sophisticated algorithms. Fraudulent responses occur when false or misleading information is provided to gain research incentives. This research team identified substantial issues with fraudulent responses and imposters. This issue has not been well reported in the literature. METHODS: Nurse managers recruited through social media completed an online survey in a national nurse-led research study. A gift card stipend was offered to participants for survey completion. An unexpected surge in survey responses prompted researchers to halt recruitment. Multiple B/F mitigation and data validation strategies were implemented to ensure data integrity and are discussed in this article. RESULTS: Of the 836 surveys, only 152 (18.2%) were complete and valid. CONCLUSIONS: When using social media for online research, incorporating preemptive mitigation strategies to combat B/F responses is essential. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|