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The aggregation of many independent estimates can outperform the most accurate individual judgment. This centenarian finding, popularly known as the wisdom of crowds, has been applied to problems ranging from the diagnosis of cancer to…

Social and Information Networks · Computer Science 2017-11-20 Joaquin Navajas , Tamara Niella , Gerry Garbulsky , Bahador Bahrami , Mariano Sigman

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…

General Economics · Economics 2025-12-29 Jon Atwell , Marlon Twyman

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…

Applications · Statistics 2021-05-26 Sandro M. Reia , José F. Fontanari

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…

Information Theory · Computer Science 2020-12-29 Davi A. Nobre , José F. Fontanari

Human forecasting accuracy in practice relies on the 'wisdom of the crowd' effect, in which predictions about future events are significantly improved by aggregating across a crowd of individual forecasters. Past work on the forecasting…

Computers and Society · Computer Science 2024-07-23 Philipp Schoenegger , Indre Tuminauskaite , Peter S. Park , Philip E. Tetlock

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…

Social and Information Networks · Computer Science 2014-07-01 Gonzalo De Polavieja , Gabriel Madirolas

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)…

Social and Information Networks · Computer Science 2018-01-01 Dhaval Adjodah , Shi Kai Chong , Yan Leng , Peter Krafft , Alex Pentland

Despite their performance, large language models (LLMs) can inadvertently perpetuate biases found in the data they are trained on. By analyzing LLM responses to bias-eliciting headlines, we find that these models often mirror human biases.…

Computation and Language · Computer Science 2025-05-20 Axel Abels , Tom Lenaerts

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.…

Social and Information Networks · Computer Science 2012-04-17 Pavlin Mavrodiev , Claudio J. Tessone , Frank Schweitzer

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…

Social and Information Networks · Computer Science 2014-07-01 Clintin Davis-Stober , David Budescu , Jason Dana , Stephen Broomell

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…

Social and Information Networks · Computer Science 2021-03-15 Robin Engelhardt , Vincent F. Hendricks , Jacob Stærk-Østergaard

The Wisdom of Crowds is a phenomenon described in social science that suggests four criteria applicable to groups of people. It is claimed that, if these criteria are satisfied, then the aggregate decisions made by a group will often be…

Machine Learning · Statistics 2016-05-16 Hosein Alizadeh , Muhammad Yousefnezhad , Behrouz Minaei Bidgoli

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…

Optimization and Control · Mathematics 2016-11-08 Yu Luo , Garud Iyengar , Venkat Venkatasubramanian

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…

Social and Information Networks · Computer Science 2023-03-07 Ye Tian , Long Wang , Francesco Bullo

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…

Social and Information Networks · Computer Science 2021-05-03 Abdullah Almaatouq , M. Amin Rahimian , Jason W. Burton , Abdulla Alhajri

Big data have the characteristics of enormous volume, high velocity, diversity, value-sparsity, and uncertainty, which lead the knowledge learning from them full of challenges. With the emergence of crowdsourcing, versatile information can…

Machine Learning · Computer Science 2022-06-22 Jing Zhang

"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…

Physics and Society · Physics 2021-02-03 Pavlin Mavrodiev , Frank Schweitzer

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…

Quantitative Methods · Quantitative Biology 2025-01-10 Patrick Stinson , Jasper van den Bosch , Trenton Jerde , Nikolaus Kriegeskorte

Why do collectives outperform individuals when solving some problems? Fundamentally, collectives have greater computational resources with more sensory information, more memory, more processing capacity, and more ways to act. While greater…

Neurons and Cognition · Quantitative Biology 2025-09-11 Charlie Pilgrim , Joe Morford , Elizabeth Warren , Mélisande Aellen , Christopher Krupenye , Richard P Mann , Dora Biro

This paper argues for recognizing an emerging paradigm of causal learning by wisdom of the crowd. Recent developments in government, industry, and research point to the rise of decentralized and crowd-based approaches within causal…

Machine Learning · Computer Science 2026-05-12 Ryan Feng Lin , Yuantao Wei , Huiling Liao , Xiaoning Qian , Shuai Huang
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