Threats to Online Surveys: Recognizing, Detecting, and Preventing Survey Bots.

The article illustrates a variety of strategies utilized by two research teams to recognize, detect and prevent survey bots which present as threats to online surveys. Topics covered include strategies that researchers can use to help further detect and isolate bot responses from valid human respons...

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Bibliographic Details
Published in:	Social Work Research Vol. 46; no. 4; pp. 343 - 351
Main Authors:	Xu, Yanfeng, Pace, Sarah, Kim, Jaeseung, Iachini, Aidyn, King, L Bailey, Harrison, Theresa, DeHart, Dana, Levkoff, Sue E, Browne, Teri A, Lewis, Ashlee A, Kunz, Gina M, Reitmeier, Melissa, Utter, R Karen, Simone, Melissa
Format:	Article
Published:	Oxford University Press / USA Dec2022
Subjects:	Human research subjects Internet Social work research Surveys Database management Automatic data collection systems Data security Data analysis
Online Access:	View this record in EBSCOhost

Description
Summary:	The article illustrates a variety of strategies utilized by two research teams to recognize, detect and prevent survey bots which present as threats to online surveys. Topics covered include strategies that researchers can use to help further detect and isolate bot responses from valid human responses, case studies that have specific implications for researchers, and suggestions for researchers and institutional review boards (IRB) regarding what to include in IRB protocols.