Tag: data quality
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Imposter Participants in Health Research: A Growing Threat
Background: Why imposter participants matter in health research Imposter participants—individuals who deliberately provide false or misleading data, or automated bots that mimic human responses—pose a growing challenge to health research. As The BMJ highlights, this issue undermines not only the data used to derive clinical insights but also the policies and medical decisions built on…
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Is this response real? Imposters threaten health studies
What is at stake when imposters join health studies? Recent concerns from researchers highlight a troubling trend: impostor participants slipping into quantitative health studies. The integrity of data collected in surveys and trials can be compromised when individuals misrepresent themselves or automate their responses for ulterior motives. When the underlying data are unreliable, the clinical…