通过顺序协作最小化社会偏见:贡献者特征在依赖性判断中的作用
Maren Mayer1, Joachim Kimmerle2,3
1Leibniz-Institut für Wissensmedien (Knowledge Media Research Center), Schleichstraße 6, 76072, Tübingen, Germany. maren.mayer@iwm-tuebingen.de.
Scientific reports
|July 24, 2025
概括
在线项目中的顺序协作能够抵御社会影响,即使提供了有关之前贡献者的信息. 这种方法被证明是准确可靠的判断聚合的有效方法,防止偏见.
科学领域:
- 社会心理学 社会心理学
- 人与计算机的交互
- 决策科学 决策科学 决策科学
背景情况:
- 顺序协作涉及多个贡献者连续调整条目.
- 这种方法对准确的数值判断聚合有希望.
- 关于以前的贡献者信息对后续判断的影响还不清楚.
研究的目的:
- 调查所呈现的社会信息 (专业知识,性别,团体成员资格) 对参与者在顺序协作中的行为的影响.
- 专门检查之前参与者的专业知识对判断聚合的影响.
- 评估顺序协作对抗社会影响的稳定性.
主要方法:
- 三个实验 (N=85,186,302) 测试了所呈现的专业知识,性别和团体成员身份对变化概率和规模的影响.
- 另外两项实验 (N=538,878) 专注于之前参与者的专业知识的影响.
- 在不同的实验条件下分析了对判断变化的行为数据.
主要成果:
- 在最初的实验中,没有发现所呈现的专业知识,性别或团体成员身份对判断变化的显著影响.
- 实验2也没有发现以前参与者的专业知识的影响.
- 实验3揭示了专业知识的统计学上显著但实际上很小的影响,低于最小的感兴趣效应大小.
结论:
- 顺序协作对简单的社会影响表现出相当大的稳定性,支持其用于判断聚合的使用.
- 这些发现突出了顺序协作作为一个潜在的可靠和偏见预防方法,协作在线项目.
- 这项研究有助于优化协作流程,以提高准确性和可靠性.
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