Maintaining data quality when using social media for recruitment: Risks, rewards, and steps forward
Author(s) / Creator(s)
Bartmess, Marissa P.
Abreu, Tamu
Abstract / Description
Social media is increasingly used to recruit participants for research studies and has been shown to be an effective means of recruitment, in terms of cost, time, and accessibility. However, researchers often struggle with the challenges of using social media for recruitment, as minimal guidance is available. Without careful consideration of the risks to data quality when using social media as a recruitment tool, the overall results of studies can be compromised. This paper provides three hypothetical scenarios based in part on the real-world experiences of researchers using social media-based recruitment (SMR) methods. The scenarios serve as a discussion and learning opportunity for researchers to identify data quality issues with SMR and postulate how issues can be mitigated. Inexperience with SMR can lead to severe flaws in data collection, which can be mitigated early in the study process with appropriate measures in place. Researchers need to proactively educate themselves and take measures to avoid common pitfalls associated with SMR to achieve robust data quality and research integrity.
Keyword(s)
social media recruitment data quality data accuracyPersistent Identifier
Date of first publication
2024-12-23
Journal title
Methodology
Volume
20
Issue
4
Page numbers
304–317
Publisher
PsychOpen GOLD
Publication status
publishedVersion
Review status
peerReviewed
Is version of
Citation
Bartmess, M. P. & Abreu, T. (2024). Maintaining data quality when using social media for recruitment: Risks, rewards, and steps forward. Methodology, 20(4), 304-317. https://doi.org/10.5964/meth.13839
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meth.v20i4.13839.pdfAdobe PDF - 268.95KBMD5 : 4cdfefe0aacf3d1fedf9196293b7e308
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There are no other versions of this object.
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Author(s) / Creator(s)Bartmess, Marissa P.
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Author(s) / Creator(s)Abreu, Tamu
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PsychArchives acquisition timestamp2025-04-25T11:32:57Z
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Made available on2025-04-25T11:32:57Z
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Date of first publication2024-12-23
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Abstract / DescriptionSocial media is increasingly used to recruit participants for research studies and has been shown to be an effective means of recruitment, in terms of cost, time, and accessibility. However, researchers often struggle with the challenges of using social media for recruitment, as minimal guidance is available. Without careful consideration of the risks to data quality when using social media as a recruitment tool, the overall results of studies can be compromised. This paper provides three hypothetical scenarios based in part on the real-world experiences of researchers using social media-based recruitment (SMR) methods. The scenarios serve as a discussion and learning opportunity for researchers to identify data quality issues with SMR and postulate how issues can be mitigated. Inexperience with SMR can lead to severe flaws in data collection, which can be mitigated early in the study process with appropriate measures in place. Researchers need to proactively educate themselves and take measures to avoid common pitfalls associated with SMR to achieve robust data quality and research integrity.en_US
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Publication statuspublishedVersion
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Review statuspeerReviewed
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CitationBartmess, M. P. & Abreu, T. (2024). Maintaining data quality when using social media for recruitment: Risks, rewards, and steps forward. Methodology, 20(4), 304-317. https://doi.org/10.5964/meth.13839
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ISSN1614-2241
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/11696
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.16284
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Language of contenteng
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PublisherPsychOpen GOLD
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Is version ofhttps://doi.org/10.5964/meth.13839
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Keyword(s)social mediaen_US
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Keyword(s)recruitmenten_US
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Keyword(s)data qualityen_US
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Keyword(s)data accuracyen_US
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Dewey Decimal Classification number(s)150
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TitleMaintaining data quality when using social media for recruitment: Risks, rewards, and steps forwarden_US
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DRO typearticle
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Issue4
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Journal titleMethodology
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Page numbers304–317
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Volume20
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Visible tag(s)Version of Record