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相关概念视频

Social Proof00:52

Social Proof

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Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
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相关实验视频

Updated: Jun 25, 2025

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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赛博格方法:一种从众包数据中识别欺诈性响应的方法.

Matthew Price1, Johanna E Hidalgo1, Julia N Kim1

  • 1Department of Psychological Science, University of Vermont, 2 Colchester Avenue, Burlington, Vermont, 05405, USA.

Computers in human behavior
|May 27, 2024
PubMed
概括

赛博格方法有效地识别了众包心理研究数据中的无效响应. 这种质量控制方法结合了自动和人工审查,确保了数据的有效性,并降低了收集成本.

关键词:
众包数据是众包的数据.机械土耳其人机械土耳其人心理学 心理学 心理学质量控制质量控制质量控制

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科学领域:

  • 心理学研究 心理学研究
  • 数据科学数据科学数据科学

背景情况:

  • 众包对于心理学研究数据收集至关重要.
  • 人们对众包数据的有效性和质量存在担忧.
  • 众包数据中的无效响应需要强有力的质量控制.

研究的目的:

  • 评估Cyborg方法对众包数据质量控制的有效性.
  • 确定Cyborg方法是否可以主动选无效响应.
  • 评估Cyborg方法对数据收集成本的影响.

主要方法:

  • 用两个样本评估了Cyborg方法.
  • 它涉及对参与者元数据的自动评估和对简短答案的审查.
  • 该方法在收集后和数据收集期间都被应用.

主要成果:

  • 赛博格方法确定了相当一部分无效答案.
  • 无论是自动化还是人类评估组件,都对质量控制至关重要.
  • 积极应用Cyborg方法有效选无效答案.

结论:

  • 赛博格方法是收集高质量的众包数据的一个有希望的方法.
  • 它提高了数据的有效性,同时降低了每个参与者的成本.
  • 经验评估支持Cyborg方法在心理学研究中的实用性.