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    Area of Science:

    • Computer Science
    • Social Sciences
    • Research Methodology

    Background:

    • Internet-based research offers efficient participant recruitment, reducing time and resource demands.
    • Social media recruitment is a valid method but susceptible to fraudulent participants and automated Internet bots.
    • Bots and fraudulent entries threaten the integrity and validity of research data and samples.

    Purpose of the Study:

    • To highlight the risks posed by bots and fraudulent participants in online research recruitment.
    • To present case examples of bot encounters in research studies.
    • To offer strategies for mitigating the risks of Internet-based recruitment methods.

    Main Methods:

    • Case study analysis of research projects encountering bots.
    • Description of procedures used to address bot detection and removal.
    • Overview of preventative strategies for online participant recruitment.

    Main Results:

    • Bots and fraudulent participants were identified in several internet-based research studies.
    • Specific procedures were successfully employed to manage and mitigate bot-related data issues.
    • A range of strategies can effectively reduce the risks associated with online recruitment.

    Conclusions:

    • While online recruitment is beneficial, vigilance against automated threats is crucial.
    • Implementing robust detection and mitigation strategies ensures the integrity of internet-based research.
    • Researchers can successfully navigate the challenges of online recruitment to obtain valid data.