有效的招募还是机器人攻击? 基于互联网的研究调查和建议的挑战,以减少风险和提高稳定性
Liesje Donkin1, Nathan Henry2, Amy Kercher1
1Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand.
Interactive journal of medical research
|March 14, 2025
概括
基于互联网的研究面临着来自机器人和垃圾邮件攻击的挑战,影响数据完整性. 虽然选方法提供了部分保护,但对这些威胁的完全安全性对研究人员来说仍然难以捉摸.
科学领域:
- 计算机科学 计算机科学
- 卫生研究方法论 卫生研究方法论
- 数据科学数据科学数据科学
背景情况:
- 基于互联网的研究提供了更广泛的覆盖范围,但引入了数据完整性的挑战.
- 机器人和垃圾邮件攻击对在线研究数据构成重大威胁.
- 验证参与者数据和防止操纵是关键问题.
研究的目的:
- 介绍来自两项基于互联网的研究案例的学习成果,这些研究受到了机器人和垃圾邮件攻击的影响.
- 为改善在线研究中的安全和选提供建议.
- 讨论当前保护措施的局限性.
主要方法:
- 审查两项涉及机器人和垃圾邮件攻击互联网研究的案例研究.
- 分析所采用的选和验证流程.
- 讨论实施的安全措施的有效性和局限性.
主要成果:
- 机器人和垃圾邮件攻击可能会损害基于互联网的研究数据的完整性.
- 当前的选和验证流程提供了部分但不完整的保护.
- 目前还没有一个绝对的解决方案可以完全防止机器人攻击.
结论:
- 在线研究平台的安全和选部分有效.
- 研究人员必须承认机器人攻击的持续威胁.
- 提供了建议,以减轻未来对基于互联网的研究的攻击的影响.
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