activity
20152025
most citedBayesian Persuasion with Mediators

9 citations · 16 across the 25 of their papers we have counts for

collaborators

26 papers

econ.TH2025

Bayesian Persuasion without Commitment

Itai Arieli, Colin Stewart

We introduce a model of persuasion in which a sender without any commitment power privately gathers information about an unknown state of the world and then chooses what to verifia…

econ.TH2025

Randomization and Efficiency under Incomplete Information

Itai Arieli, Yakov Babichenko, Atulya Jain +1

We study ex-ante Pareto efficiency of feasible outcomes in games with incomplete information. Our main observation is that excessive randomization leads to inefficiency. With a non…

cs.GT2024★ 1 cited

Persuading while Learning

Itai Arieli, Yakov Babichenko, Dimitry Shaiderman +1

We propose a dynamic product adoption persuasion model involving an impatient partially informed sender who gradually learns the state. In this model, the sender gathers informatio…

econ.TH2024

Robust Price Discrimination

Itai Arieli, Yakov Babichenko, Omer Madmon +1

We consider a model of third-degree price discrimination where the seller's product valuation is unknown to the market designer, who aims to maximize buyer surplus by revealing buy…

cs.GT2024

Optimal Information Design in Sender-Receiver Cheap Talk Interactions

Itai Arieli, Ivan Geffner, Moshe Tennenholtz

This paper considers the dynamics of cheap talk interactions between an oblivious receiver and a sender with different amounts of information. Even though it may seem that having a…

cs.GT2023

The Value of Mediation in Long Cheap Talk

Itai Arieli, Ivan Geffner, Moshe Tennenholtz

In this paper, we study an extension of the classic long cheap talk equilibrium introduced by Aumann and Hart~\citeN{aumann-hart-03}, and ask how much can the players benefit from…

econ.TH2023★ 1 cited

Resilient Information Aggregation

Itai Arieli, Ivan Geffner, Moshe Tennenholtz

In an information aggregation game, a set of senders interact with a receiver through a mediator. Each sender observes the state of the world and communicates a message to the medi…

econ.TH2023

Feasible Conditional Belief Distributions

Itai Arieli, Yakov Babichenko, Fedor Sandomirskiy

Agents receive private signals about an unknown state. The resulting joint belief distributions are complex and lack a simple characterization. Our key insight is that, when condit…

cs.GT2023

Reputation-based Persuasion Platforms

Itai Arieli, Omer Madmon, Moshe Tennenholtz

In this paper, we introduce a two-stage Bayesian persuasion model in which a third-party platform controls the information available to the sender about users' preferences. We aim…

cs.GT2023

A Random Dictator Is All You Need

Itai Arieli, Yakov Babichenko, Inbal Talgam-Cohen +1

We study information aggregation with a decision maker aggregating binary recommendations from symmetric agents. Each agent's recommendation depends on her private information abou…

econ.TH2023

Informationally Robust Cheap-Talk

Itai Arieli, Ronen Gradwohl, Rann Smorodinsky

We study the robustness of cheap-talk equilibria to infinitesimal private information of the receiver in a model with a binary state-space and state-independent sender-preferences.…

econ.TH2023★ 1 cited

The Hazards and Benefits of Condescension in Social Learning

Itai Arieli, Yakov Babichenko, Stephan Müller +2

In a misspecified social learning setting, agents are condescending if they perceive their peers as having private information that is of lower quality than it is in reality. Apply…

cs.GT2022

Mediated Cheap Talk Design (with proofs)

Itai Arieli, Ivan Geffner, Moshe Tennenholtz

We study an information design problem with two informed senders and a receiver in which, in contrast to traditional Bayesian persuasion settings, senders do not have commitment po…

econ.TH2022★ 9 cited

Bayesian Persuasion with Mediators

Itai Arieli, Yakov Babichenko, Fedor Sandomirskiy

An informed sender communicates with an uninformed receiver through a sequence of uninformed mediators; agents' utilities depend on receiver's action and the state. For any number…

cs.GT2022

A Population's Feasible Posterior Beliefs

Itai Arieli, Yakov Babichenko

We consider a population of Bayesian agents who share a common prior over some finite state space and each agent is exposed to some information about the state. We ask which distri…

math.PR2021

Granular DeGroot Dynamics -- a Model for Robust Naive Learning in Social Networks

Gideon Amir, Itai Arieli, Galit Ashkenazi-Golan +1

We study a model of opinion exchange in social networks where a state of the world is realized and every agent receives a zero-mean noisy signal of the realized state. It is known…

cs.LG2021

Sequential Naive Learning

Itai Arieli, Yakov Babichenko, Manuel Mueller-Frank

We analyze boundedly rational updating from aggregate statistics in a model with binary actions and binary states. Agents each take an irreversible action in sequence after observi…

econ.TH2020

On social networks that support learning

Itai Arieli, Fedor Sandomirskiy, Rann Smorodinsky

It is well understood that the structure of a social network is critical to whether or not agents can aggregate information correctly. In this paper, we study social networks that…

econ.TH2020

Feasible Joint Posterior Beliefs

Itai Arieli, Yakov Babichenko, Fedor Sandomirskiy +1

We study the set of possible joint posterior belief distributions of a group of agents who share a common prior regarding a binary state, and who observe some information structure…

econ.TH2019★ 3 cited

The Implications of Pricing on Social Learning

Itai Arieli, Moran Koren, Rann Smorodinsky

We study the implications of endogenous pricing for learning and welfare in the classic herding model . When prices are determined exogenously, it is known that learning occurs if…

cs.GT2018

The One-Shot Crowdfunding Game

Itai Arieli, Moran Koren, Rann Smorodinsky

The recent success of crowd-funding for supporting new and innovative products has been overwhelming with over 34 Billion Dollars raised in 2015. In many crowd-funding platforms, f…

econ.GN2017★ 1 cited

Robust Forecast Aggregation

Itai Areili, Yakov Babichenko, Rann Smorodinsky

Bayesian experts who are exposed to different evidence often make contradictory probabilistic forecasts. An aggregator, ignorant of the underlying model, uses this to calculate her…

cs.GT2017

The Crowdfunding Game

Itai Arieli, Moran Koren, Rann Smorodinsky

The recent success of crowdfunding for supporting new and innovative products has been overwhelming with over 34 Billion Dollars raised in 2015. In many crowdfunding platforms, fir…

cs.GT2017

Simple approximate equilibria in games with many players

Itai Arieli, Yakov Babichenko

We consider -equilibria notions for constant value of in -player -actions games where is a constant. We focus on the following question: What is the largest grid s…