相关实验视频
Updated: Jul 23, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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一个大规模的随机受控试验在同行评审讨论中对群体群体进行讨论
Ivan Stelmakh1,2, Charvi Rastogi3, Nihar B Shah3
1New Economic School, Moscow, Russia.
PloS one
|July 12, 2023
概括
这项研究发现,在学术同行评审讨论中,没有证据表明群体行为. 审查员和主席没有被第一个提出的意见过度影响,这表明当前的做法不会增加决策的任意性.
科学领域:
- 人工智能的人工智能
- 机器学习 机器学习
- 科学出版科学出版
背景情况:
- 同行评审在学术界至关重要,它依赖于易受认知偏见影响的人类判断.
- 了解和减轻像同行评审中的群体行为这样的偏见对于强有力的科学评估至关重要.
研究的目的:
- 在学术同行评审的讨论阶段调查群体行为的存在.
- 确定在讨论中提出的初始意见是否不成比例地影响了审查员和讨论主席的决定.
主要方法:
- 在顶级机器学习会议上进行了一项随机对照试验,涉及1544篇论文和2797名评论员.
- 该研究分析了讨论发起人对论文成果的意见的条件因果效应.
主要成果:
- 实验没有发现统计证据表明评论员或讨论椅子之间存在群体行为.
- 这一发现与以前在其他领域对定效应和群体的研究形成鲜明对比.
结论:
- 没有群体行为表明,当前的同行评审讨论动态并不本质上导致任意决策.
- 这些发现支持现有的做法,即不执行统一的政策,在同行评审中启动讨论.
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