相关实验视频
Updated: Jan 20, 2026
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Introspection Illusion: Reason-Analysis Impairs Decision-Making
Published on: April 30, 2023
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信息改和不民主的决定
Alexander J Stewart1, Mohsen Mosleh2, Marina Diakonova3
1Department of Biology and Biochemistry, University of Houston, Houston, TX, USA. astewar6@central.uh.edu.
Nature
|September 6, 2019
概括
网络结构可以通过"信息改"来扭曲集体决策. 策略性地放置热心分子和网络设计, 即使是在大群体中,
科学领域:
- 社会科学
- 网络科学
- 计算社会科学
背景情况:
- 集体决策依赖于来自不同来源的信息.
- 信息流往往受到社交网络的限制, 容易被机器人或狂热分子操纵.
- 了解网络结构如何影响集体结果对于民主进程至关重要.
研究的目的:
- 在集体决策中模拟和分析信息改现象.
- 调查网络拓和有影响力的代理人的战略位置如何影响投票结果.
- 在实验和现实社会网络中识别和量化信息改.
主要方法:
- 通过影响网络的参与者开发选民游戏模式
- 数学分析揭示了信息改的原理.
- 通过2520人参与的社交网络实验验证理论预测.
- 分析现实世界的网络,包括在线政治讨论和立法数据.
主要成果:
- 即使党派规模和影响力相等,
- 策略性地放置的狂热分子可以诱导信息改和偏见的结果.
- 实验数据证实了信息改的预测效果.
- 在网上政治讨论和历史立法数据中发现了信息改.
结论:
- 影响网络的结构可以系统地扭曲集体决策.
- 信息操纵是集体情报中的一个漏洞,
- 广泛的信息改可能导致群体陷入局,并阻止达成共识,造成社会困境.
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