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"Wisdom of crowds" refers to the phenomenon that the average opinion of a group of individuals on a given question can be very close to the true answer. It requires a large group diversity of opinions, but the collective error, the…

物理与社会 · 物理学 2021-02-03 Pavlin Mavrodiev , Frank Schweitzer

The wisdom of crowds is the idea that the combination of independent estimates of the magnitude of some quantity yields a remarkably accurate prediction, which is always more accurate than the average individual estimate. In addition, it is…

信息论 · 计算机科学 2020-12-29 Davi A. Nobre , José F. Fontanari

Human groups can perform extraordinary accurate estimations compared to individuals by simply using the mean, median or geometric mean of the individual estimations [Galton 1907, Surowiecki 2005, Page 2008]. However, this is true only for…

社会与信息网络 · 计算机科学 2014-07-01 Gonzalo De Polavieja , Gabriel Madirolas

Online discussion threads are important means for individual decision-making and for aggregating collective judgments, e.g. the `wisdom of crowds'. Empirical investigations of the wisdom of crowds are currently ambivalent about the role…

社会与信息网络 · 计算机科学 2021-03-15 Robin Engelhardt , Vincent F. Hendricks , Jacob Stærk-Østergaard

Wisdom of crowds refers to the phenomenon that the aggregate prediction or forecast of a group of individuals can be surprisingly more accurate than most individuals in the group, and sometimes - than any of the individuals comprising it.…

社会与信息网络 · 计算机科学 2012-04-17 Pavlin Mavrodiev , Claudio J. Tessone , Frank Schweitzer

Wisdom of the crowd, the collective intelligence derived from responses of multiple human or machine individuals to the same questions, can be more accurate than each individual, and improve social decision-making and prediction accuracy.…

机器学习 · 统计学 2021-10-29 Lingfei Wang , Tom Michoel

A long-standing debate is whether social influence improves the collective wisdom of a crowd or undermines it. This paper addresses this question based on a naive learning setting in influence systems theory: in our models individuals…

社会与信息网络 · 计算机科学 2023-03-07 Ye Tian , Long Wang , Francesco Bullo

It is very common to observe crowds of individuals solving similar problems with similar information in a largely independent manner. We argue here that crowds can become "smarter," i.e., more efficient and robust, by partially following…

最优化与控制 · 数学 2016-11-08 Yu Luo , Garud Iyengar , Venkat Venkatasubramanian

Whether, and under what conditions, groups exhibit "crowd wisdom" has been a major focus of research across the social and computational sciences. Much of this work has focused on the role of social influence in promoting the wisdom of the…

社会与信息网络 · 计算机科学 2021-05-03 Abdullah Almaatouq , M. Amin Rahimian , Jason W. Burton , Abdulla Alhajri

The puzzling idea that the combination of independent estimates of the magnitude of a quantity results in a very accurate prediction, which is superior to any or, at least, to most of the individual estimates is known as the wisdom of…

应用统计 · 统计学 2021-05-26 Sandro M. Reia , José F. Fontanari

We propose an agent-based model of collective opinion formation to study the wisdom of crowds under social influence. The opinion of an agent is a continuous positive value, denoting its subjective answer to a factual question. The wisdom…

物理与社会 · 物理学 2020-08-25 Pavlin Mavrodiev , Frank Schweitzer

We show how the quality of decisions based on the aggregated opinions of the crowd can be conveniently studied using a sample of individual responses to a standard IQ questionnaire. We aggregated the responses to the IQ questionnaire using…

多智能体系统 · 计算机科学 2024-10-15 Michal Kosinski , Yoram Bachrach , Thore Graepel , Giergji Kasneci , Jurgen Van Gael

Numerous studies and anecdotes demonstrate the "wisdom of the crowd," the surprising accuracy of a group's aggregated judgments. Less is known, however, about the generality of crowd wisdom. For example, are crowds wise even if their…

社会与信息网络 · 计算机科学 2014-07-01 Clintin Davis-Stober , David Budescu , Jason Dana , Stephen Broomell

Every day, we judge the probability of propositions. When we communicate graded confidence (e.g. "I am 90% sure"), we enable others to gauge how much weight to attach to our judgment. Ideally, people should share their judgments to reach…

定量方法 · 定量生物学 2025-01-10 Patrick Stinson , Jasper van den Bosch , Trenton Jerde , Nikolaus Kriegeskorte

Crowds can often make better decisions than individuals or small groups of experts by leveraging their ability to aggregate diverse information. Question answering sites, such as Stack Exchange, rely on the "wisdom of crowds" effect to…

人机交互 · 计算机科学 2017-04-04 Keith Burghardt , Emanuel F. Alsina , Michelle Girvan , William Rand , Kristina Lerman

The provision of information can improve individual judgments but also fail to make group decisions more accurate; if individuals choose to attend to the same information in the same manner, the predictive diversity that enables crowd…

综合经济学 · 经济学 2025-12-29 Jon Atwell , Marlon Twyman

A major problem that resulted from the massive use of social media networks is the diffusion of incorrect information. However, very few studies have investigated the impact of incorrect information on individual and collective decisions.…

The recent developments of social networks and recommender systems have dramatically increased the amount of social information shared in human communities, challenging the human ability to process it. As a result, sharing aggregated forms…

物理与社会 · 物理学 2022-01-12 Bertrand Jayles , Clément Sire , Ralf H. J. M Kurvers

Collective intelligence, which aggregates the shared information from large crowds, is often negatively impacted by unreliable information sources with the low quality data. This becomes a barrier to the effective use of collective…

社会与信息网络 · 计算机科学 2012-10-04 Guo-Jun Qi , Charu Aggarwal , Pierre Moulin , Thomas Huang

In this study, we build on previous research to understand the conditions within which the Wisdom of the Crowd (WoC) improves or worsens as a result of showing individuals the predictions of their peers. Our main novel contributions are: 1)…

社会与信息网络 · 计算机科学 2018-01-01 Dhaval Adjodah , Shi Kai Chong , Yan Leng , Peter Krafft , Alex Pentland
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