View in EDS HTML Full Text PDF Full Text

Centering Community and Mediating Online Survey Threats: Case Studies from Social Work Research.

Saved in:
Bibliographic Details
Title: Centering Community and Mediating Online Survey Threats: Case Studies from Social Work Research.
Authors: Guzman, Kate Golden, Ast, Roxanna S
Source: Social Work Research. Sep2025, Vol. 49 Issue 3, p185-192. 8p.
Subjects: LGBTQ+ people, Internet, Foster home care, Social work research, Surveys, Research bias, Content mining, Fraud, Data quality
Abstract: Social work scholars are increasingly conducting research using virtual spaces such as survey platforms, video interfaces, email, and online communities. Internet-based approaches can increase access to historically and socially excluded groups. However, online methods are also prone to data quality issues. Findings based on fraudulent data can result in policies, programming, and services that are not reflective of the lived experiences and needs of disenfranchised groups. To ensure social workers do not perpetuate harm by reporting findings from nonrepresentative survey responses, it is imperative that our data are valid. Authors of this article used case studies to share their experiences with online survey fraud, discussing how they mitigated challenges with bots, fake respondents, and multiple responses in studies with foster care and LGBTQ+ communities. Authors share how they centered community perspectives to inform recruitment and data collection practices to increase their capacity to identify valid data. They describe a rigorous, multiphase process for assessing data validity in real time based on lessons learned. Finally, they provide reflection questions that highlight important concepts for researchers to consider when using online recruitment and survey techniques with disenfranchised groups. [ABSTRACT FROM AUTHOR]
Copyright of Social Work Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 187954993
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Centering Community and Mediating Online Survey Threats: Case Studies from Social Work Research.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Guzman%2C+Kate+Golden%22">Guzman, Kate Golden</searchLink><br /><searchLink fieldCode="AR" term="%22Ast%2C+Roxanna+S%22">Ast, Roxanna S</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Social+Work+Research%22">Social Work Research</searchLink>. Sep2025, Vol. 49 Issue 3, p185-192. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22LGBTQ%2B+people%22">LGBTQ+ people</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Foster+home+care%22">Foster home care</searchLink><br /><searchLink fieldCode="DE" term="%22Social+work+research%22">Social work research</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Research+bias%22">Research bias</searchLink><br /><searchLink fieldCode="DE" term="%22Content+mining%22">Content mining</searchLink><br /><searchLink fieldCode="DE" term="%22Fraud%22">Fraud</searchLink><br /><searchLink fieldCode="DE" term="%22Data+quality%22">Data quality</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Social work scholars are increasingly conducting research using virtual spaces such as survey platforms, video interfaces, email, and online communities. Internet-based approaches can increase access to historically and socially excluded groups. However, online methods are also prone to data quality issues. Findings based on fraudulent data can result in policies, programming, and services that are not reflective of the lived experiences and needs of disenfranchised groups. To ensure social workers do not perpetuate harm by reporting findings from nonrepresentative survey responses, it is imperative that our data are valid. Authors of this article used case studies to share their experiences with online survey fraud, discussing how they mitigated challenges with bots, fake respondents, and multiple responses in studies with foster care and LGBTQ+ communities. Authors share how they centered community perspectives to inform recruitment and data collection practices to increase their capacity to identify valid data. They describe a rigorous, multiphase process for assessing data validity in real time based on lessons learned. Finally, they provide reflection questions that highlight important concepts for researchers to consider when using online recruitment and survey techniques with disenfranchised groups. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Social Work Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=187954993
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/swr/svaf011
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 185
    Subjects:
      – SubjectFull: LGBTQ+ people
        Type: general
      – SubjectFull: Internet
        Type: general
      – SubjectFull: Foster home care
        Type: general
      – SubjectFull: Social work research
        Type: general
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Research bias
        Type: general
      – SubjectFull: Content mining
        Type: general
      – SubjectFull: Fraud
        Type: general
      – SubjectFull: Data quality
        Type: general
    Titles:
      – TitleFull: Centering Community and Mediating Online Survey Threats: Case Studies from Social Work Research.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Guzman, Kate Golden
      – PersonEntity:
          Name:
            NameFull: Ast, Roxanna S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10705309
          Numbering:
            – Type: volume
              Value: 49
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Social Work Research
              Type: main
ResultId 1