IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i2d10.1007_s11135-024-02001-w.html
   My bibliography  Save this article

Bots and baddies: supporting the integrity of online survey research in the face of a growing challenge

Author

Listed:
  • Elizabeth Hitches

    (University of Queensland)

  • Dean Dudley

    (Macquarie University)

  • Melissa Johnstone

    (University of Queensland)

  • Stuart Woodcock

    (University of Queensland
    Griffith University)

Abstract

Numerous online surveys are impacted by bot and fraudulent data and the techniques employed are becoming increasingly sophisticated. However, many researchers are unaware of this growing challenge and may not be taking adequate measures to identify and remove this fake data, contaminating their findings. This paper describes the measures taken for two different surveys, one of which received a significantly higher rate of bot and fraudulent activity than the other, despite both having similar distribution pathways. One survey (n = 628 responses) contained 26 automatically identified red flags via Qualtrics™ and 10 manually identified red flags across the responses. The other survey (n = 690 responses) contained 263 automatically identified red flags via Qualtrics™ and 407 manually identified red flags across the responses. It stresses the need for both a “macro-view” or “birds-eye-view” to explore patterns and clusters across the dataset and a “micro-view” to examine the content of individual responses, looking for either single strong red flags of fraud or cumulative flags of suspicion. The time taken to do this illustrates the increased burden on researchers when one online survey receives high volumes of fake respondents. With bots and baddies increasing the chances of making a Type I or Type II error in quantitative research and infiltrating qualitative research with data which are not the authentic voices, perspectives, and lived experiences of participants, it is imperative that awareness is raised across the research community and steps are taken to safeguard the integrity of online survey research.

Suggested Citation

  • Elizabeth Hitches & Dean Dudley & Melissa Johnstone & Stuart Woodcock, 2025. "Bots and baddies: supporting the integrity of online survey research in the face of a growing challenge," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1481-1506, April.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02001-w
    DOI: 10.1007/s11135-024-02001-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-02001-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-024-02001-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Ioniță & Andreea Orîndaru & Marian Bratu, 2022. "CRM Software Adoption by Small Enterprises," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 189-199, November.
    2. Pengyi Shen & Demin Wan & Aonan Zhu, 2025. "Investigating the effect of AI service quality on consumer well-being in retail context," Service Business, Springer;Pan-Pacific Business Association, vol. 19(1), pages 1-35, March.
    3. Russell W. Belk & Daniel Belanche & Carlos Flavián, 2023. "Key concepts in artificial intelligence and technologies 4.0 in services," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 1-9, March.
    4. Xie, Yibo & Ma, Wenbin & Ma, Yichuan & Ren, Zhouqi & Tong, Zelin & Wang, Yihuan, 2023. "A counterfactual thinking perspective of moral licensing effect in machine-driven communication: An example of natural language processing chatbot developed based on WeChat API," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    5. Sung Yeon Kim & Jin Min Kim, 2025. "Standardization versus customization in artificial intelligence-based services: what fuels continuous intention to use on digital platforms?," Service Business, Springer;Pan-Pacific Business Association, vol. 19(1), pages 1-23, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02001-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.