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方法学挑战:解决在线研究中的机器人问题。

Methodological Challenge: Addressing Bots in Online Research.

出版信息

J Pediatr Health Care. 2023 May-Jun;37(3):328-332. doi: 10.1016/j.pedhc.2022.12.006. Epub 2023 Jan 29.

DOI:10.1016/j.pedhc.2022.12.006
PMID:36717299
Abstract

Internet-based research has become useful for data collection, particularly because it reduces the time and resources required for recruitment. Although participant recruitment using social media is a scientifically and ethically sound methodology for many studies, this approach attracts fraudulent participants and Internet bots which can pose serious threats to sample validity and data integrity. We present several case examples of research studies in which bots were encountered and the procedures used to address them. In addition, we provide an overview of strategies researchers can use to mitigate the risks associated with Internet-based recruitment methods.

摘要

基于互联网的研究已成为数据收集的有效手段,尤其是因为它减少了招募所需的时间和资源。虽然使用社交媒体进行参与者招募对于许多研究来说是一种科学和伦理上合理的方法,但这种方法会吸引虚假参与者和网络机器人,这可能对样本有效性和数据完整性构成严重威胁。我们介绍了几个研究中遇到机器人的案例,并介绍了处理这些机器人的程序。此外,我们还概述了研究人员可以用来降低与基于互联网的招募方法相关风险的策略。

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