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Related papers: Understanding (Ir)rational Herding Online

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Opinion dynamics have fascinated researchers for centuries. The ability of societies to learn as well as the emergence of irrational {\it herding} are equally evident. The simplest example is that of agents that have to determine a binary…

Social and Information Networks · Computer Science 2017-04-07 Amir Leshem , Anna Scaglione

Herding, where investors imitate others' decisions rather than relying on their own analysis, is a prevalent phenomenon in financial markets. Excessive herding distorts rational decisions, amplifies volatility, and can be exploited by…

Mathematical Finance · Quantitative Finance 2026-04-14 Huisheng Wang , H. Vicky Zhao

Peer review is the backbone of academia and humans constitute a cornerstone of this process, being responsible for reviewing papers and making the final acceptance/rejection decisions. Given that human decision making is known to be…

Human-Computer Interaction · Computer Science 2020-12-01 Ivan Stelmakh , Charvi Rastogi , Nihar B. Shah , Aarti Singh , Hal Daumé

Online lending, a phenomenon which is becoming mainstream due to the migration of consumer finance to the Internet and the adoption of AI based lending models, is an example of learning by doing. This paper studies optimal policies for a…

Theoretical Economics · Economics 2025-11-18 Mendelson Haim , Zhu Mingxi

We explore how the mechanics of collective decision-making, especially of jury deliberation, can be inferred from macroscopic statistics. We first hypothesize that the dynamics of competing opinions can leave a "fingerprint" in the joint…

Physics and Society · Physics 2019-08-14 Keith Burghardt , William Rand , Michelle Girvan

As online shopping becomes ever more prevalent, customers rely increasingly on product rating websites for making purchase decisions. The reliability of online ratings, however, is potentially compromised by the so-called herding effect:…

Computers and Society · Computer Science 2018-03-05 Gael Lederrey , Robert West

Recent advancements in Large Language Models (LLMs) have enabled the emergence of multi-agent systems where LLMs interact, collaborate, and make decisions in shared environments. While individual model behavior has been extensively studied,…

Multiagent Systems · Computer Science 2025-05-29 Young-Min Cho , Sharath Chandra Guntuku , Lyle Ungar

Social media platforms are thriving nowadays, so a huge volume of data is produced. As it includes brief and clear statements, millions of people post their thoughts on microblogging sites every day. This paper represents and analyze the…

Social and Information Networks · Computer Science 2021-08-05 Suchandra Dutta , Dhrubasish Sarkar , Sohom Roy , Dipak K. Kole , Premananda Jana

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…

Social and Information Networks · Computer Science 2012-10-04 Guo-Jun Qi , Charu Aggarwal , Pierre Moulin , Thomas Huang

Motivated by recent applications of sequential decision making in matching markets, in this paper we attempt at formulating and abstracting market designs for P2P lending. We describe a paradigm to set the stage for how peer to peer…

Computer Science and Game Theory · Computer Science 2023-08-08 Soumajyoti Sarkar

The growing popularity of online fundraising (aka "crowdfunding") has attracted significant research on the subject. In contrast to previous studies that attempt to predict the success of crowdfunded projects based on specific…

Human-Computer Interaction · Computer Science 2021-01-19 Henry K. Dambanemuya , Emőke-Ágnes Horvát

Social learning is a fundamental mechanism shaping decision-making across numerous social networks, including social trading platforms. In those platforms, investors combine traditional investing with copying the behavior of others.…

Physics and Society · Physics 2025-07-04 Bijin Joseph , Christoph Riedl , Alex Pentland , Esteban Moro

We explored decision-making dynamics in social systems, referencing the 'herd behavior' from prior studies where individuals follow preceding choices without understanding the underlying reasons. While previous research highlighted a…

Artificial Intelligence · Computer Science 2023-12-29 Lu Li , Huangxing Li

Online rating systems are often used in numerous web or mobile applications, e.g., Amazon and TripAdvisor, to assess the ground-truth quality of products. Due to herding effects, the aggregation of historical ratings (or historical…

Artificial Intelligence · Computer Science 2024-08-21 Hong Xie , Mingze Zhong , Defu Lian , Zhen Wang , Enhong Chen

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

It is widely believed that one's peers influence product adoption behaviors. This relationship has been linked to the number of signals a decision-maker receives in a social network. But it is unclear if these same principles hold when the…

Social and Information Networks · Computer Science 2020-09-09 Soumajyoti Sarkar , Ashkan Aleali , Paulo Shakarian , Mika Armenta , Danielle Sanchez , Kiran Lakkaraju

Collective, especially group-based, managerial decision making is crucial in organizations. Using an evolutionary theoretic approach to collective decision making, agent-based simulations were conducted to investigate how human collective…

Multiagent Systems · Computer Science 2019-02-20 Shelley D. Dionne , Hiroki Sayama , Francis J. Yammarino

Social media platforms disseminate extensive volumes of online content, including true and, in particular, false rumors. Previous literature has studied the diffusion of offline rumors, yet more research is needed to understand the…

Social and Information Networks · Computer Science 2023-03-22 Nicolas Pröllochs , Stefan Feuerriegel

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

Boards of large corporations sharing some of their directors are connected in complex networks. Boards are responsible for corporations' long-term strategy and are often involved in decisions about a common topic related to the belief in…

Condensed Matter · Physics 2007-05-23 Stefano Battiston , Gerard Weisbuch , Eric Bonabeau
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