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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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:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Threats to Online Surveys: Recognizing, Detecting, and Preventing Survey Bots.
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          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
        affil:
          PhD, is assistant professor, College of Social Work, Hamilton College, University of South Carolina , 1512 Pendleton Street, Columbia, SC 29208, USA
          MSW, is a PhD student College of Social Work, University of South Carolina , Columbia, SC, USA
          PhD, is assistant professor is College of Social Work, University of South Carolina , Columbia, SC, USA
          PhD, is associate professor, College of Social Work, University of South Carolina , Columbia, SC, USA
          MSW, is project coordinator, College of Social Work, University of South Carolina , Columbia, SC, USA
          MS, MPA, is a PhD candidate and project manager, College of Education, University of South Carolina , Columbia, SC, USA
          PhD, is research professor, College of Social Work, University of South Carolina , Columbia, SC, USA
          ScD, is professor, College of Social Work, University of South Carolina , Columbia, SC, USA
          PhD, is professor and interim dean, College of Social Work, University of South Carolina , Columbia, SC, USA
          PhD, is research associate, College of Education, University of South Carolina , Columbia, SC, USA
          PhD, is an independent consultant , Spring, TX, USA
          PhD, is clinical professor, College of Social Work, University of South Carolina , Columbia, SC, USA
          JD, is project director, College of Education, University of South Carolina , Columbia, SC, USA
          PhD, is a postdoctoral research fellow, Division of Epidemiology and Community Health, University of Minnesota School of Public Health , Minneapolis, MN, USA
      su:
        Human research subjects
        Internet
        Social work research
        Surveys
        Database management
        Automatic data collection systems
        Data security
        Data analysis
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        subj:
          Human research subjects
          Internet
          Social work research
          Data Processing, Hosting, and Related Services
          Internet Publishing and Broadcasting and Web Search Portals
          Wired Telecommunications Carriers
          Other Individual and Family Services
          Other Computer Related Services
          Computer systems design and related services (except video game design and development)
          Surveys
          Database management
          Automatic data collection systems
          Data security
          Data analysis
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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