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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Detalles Bibliográficos
Publicado en:	Social Work Research Vol. 46; no. 4; pp. 343 - 351
Autores principales:	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
Formato:	Artículo
Publicado:	Oxford University Press / USA Dec2022
Materias:	Human research subjects Internet Social work research Surveys Database management Automatic data collection systems Data security Data analysis
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.