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This paper examines an adverse selection environment where a sender with private information (high or low ability) tries to convince a receiver of having higher ability. Without commitment or costly signaling, market failure can occur.…

Theoretical Economics · Economics 2024-08-21 Hershdeep Chopra

Consumers can acquire information through their own search efforts or through their social network. Information diffusion via word-of-mouth communication leads to some consumers free-riding on their "friends" and less information…

Theoretical Economics · Economics 2021-10-01 Atabek Atayev , Maarten Janssen

Private signals model noisy information about an unknown state. Although these signals are called "private," they may still carry information about each other. Our paper introduces the concept of private private signals, which contain…

Theoretical Economics · Economics 2026-05-06 Kevin He , Fedor Sandomirskiy , Omer Tamuz

Political and advertising campaigns increasingly exploit social networks to spread information and persuade people. This paper studies a persuasion model to examine whether such a strategy is better than simply sending public signals.…

Theoretical Economics · Economics 2025-08-12 Yifan Zhang

We study the bounds of mediated communication in sender-receiver games in which the sender's payoff is state-independent. We show that the feasible distributions over the receiver's beliefs under mediation are those that induce zero…

Theoretical Economics · Economics 2023-11-14 Roberto Corrao , Yifan Dai

Reputation is not just a simple opinion that an individual has about another but a social construct that emerges through communication. Despite the huge importance in coordinating human behavior, such a communicative aspect has remained…

Physics and Society · Physics 2024-10-15 Youngsuk Mun , Quang Anh Le , Seung Ki Baek

Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assumes she does so according to information's content,…

Social and Information Networks · Computer Science 2022-04-22 Gaël Poux-Médard , Julien Velcin , Sabine Loudcher

I develop a rather simple agent-based model to capture a co-evolution of opinion formation, political decision making and economic outcomes. I use this model to study how societies form opinions if their members have opposing interests.…

General Economics · Economics 2021-11-19 Patrick Mellacher

A game is introduced to study the effect of privacy in strategic communication between well-informed senders and a receiver. The receiver wants to accurately estimate a random variable. The sender, however, wants to communicate a message…

Computer Science and Game Theory · Computer Science 2015-09-21 Farhad Farokhi , Girish Nair

The cognitive research on reputation has shown several interesting properties that can improve both the quality of services and the security in distributed electronic environments. In this paper, the impact of reputation on decision-making…

Artificial Intelligence · Computer Science 2011-06-28 Walter Quattrociocchi , Rosaria Conte

How an information spreads throughout a social network is a valuable knowledge sought by many groups such as marketing enterprises and political parties. If they can somehow predict the impact of a given message or manipulate it in order to…

Social and Information Networks · Computer Science 2015-10-07 Fabricio Olivetti de Franca , Denise Hideko Goya , Claudio Luis de Camargo Penteado

Welfare maximization in bilateral trade has been extensively studied in recent years. Previous literature obtained incentive-compatible approximation mechanisms only for the private values case. In this paper, we study welfare maximization…

Computer Science and Game Theory · Computer Science 2025-07-01 Shahar Dobzinski , Alon Eden , Kira Goldner , Ariel Shaulker , Thodoris Tsilivis

We study a sequential social learning model in which there is uncertainty about the informativeness of a common signal-generating process. Rational agents arrive in order and make decisions based on the past actions of others and their…

Theoretical Economics · Economics 2025-07-01 Wanying Huang

This paper characterizes informational outcomes in a model of dynamic signaling with vanishing commitment power. It shows that contrary to popular belief, informative equilibria with payoff-relevant signaling can exist without requiring…

Theoretical Economics · Economics 2024-05-17 Egor Starkov

We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social…

Physics and Society · Physics 2018-10-22 Sven Banisch , Eckehard Olbrich

This paper analyzes repeated version of the bilateral trade model where the independent payoff relevant private information of the buyer and the seller is correlated across time. Using this setup it makes the following five contributions.…

Theoretical Economics · Economics 2022-02-10 Rohit Lamba

This work extends a model of simulating influence in a network of stochastic edge dynamics to account for polarization. The model built upon is termed Dynamic Communicators and seeks to understand the process which produces low volume, high…

Social and Information Networks · Computer Science 2018-05-29 Cameron E. Taylor , Ivan Garibay , Alexander V. Mantzaris

We study how privacy technologies affect user and advertiser behavior in a simple economic model of targeted advertising. In our model, a consumer first decides whether or not to buy a good, and then an advertiser chooses an advertisement…

Computer Science and Game Theory · Computer Science 2015-08-14 Rachel Cummings , Katrina Ligett , Mallesh M. Pai , Aaron Roth

Unsupervised exploration and representation learning become increasingly important when learning in diverse and sparse environments. The information-theoretic principle of empowerment formalizes an unsupervised exploration objective through…

Machine Learning · Computer Science 2019-05-24 Jonathan Binas , Sherjil Ozair , Yoshua Bengio

Ranking items regarding individual user interests is a core technique of multiple downstream tasks such as recommender systems. Learning such a personalized ranker typically relies on the implicit feedback from users' past click-through…

Information Retrieval · Computer Science 2024-01-24 Jiarui Jin , Zexue He , Mengyue Yang , Weinan Zhang , Yong Yu , Jun Wang , Julian McAuley
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