activity
20232026
most citedA Persuasive Approach to Combating Misinformation

3 citations · 4 across the 10 of their papers we have counts for

collaborators
Showing cs.GTShow all

6 papers · 1 filter

cs.GT2026

Evidence Markets

Safwan Hossain, Gabriel Andrade, Chengqi Zang +1

Modern prediction markets face two limitations that restrict their applicability in a range of settings:~(i)~they reveal what the crowd believes but not the evidence or reasoning b…

cs.GT2026

Learning to Strategically Acquire Resources in Competition

Safwan Hossain, Mirah Shi, Andrew Bennett +4

We consider multiple agents competing to acquire some costly divisible resource (e.g. shares of a financial asset, compute resources, etc.) over time. Leveraging a standard model f…

cs.GT2025

Learning to Play Multi-Follower Bayesian Stackelberg Games

Gerson Personnat, Tao Lin, Safwan Hossain +1

In a multi-follower Bayesian Stackelberg game, a leader plays a mixed strategy over actions to which followers, each having one of possible private types, best res…

cs.GT2025

Information Design With Large Language Models

Paul Duetting, Safwan Hossain, Tao Lin +4

Information design is typically studied through the lens of Bayesian signaling, where signals shape beliefs purely based on their correlation with the true state of the world. Howe…

cs.GT2024

Strategic Classification With Externalities

Safwan Hossain, Evi Micha, Yiling Chen +1

We propose a new variant of the strategic classification problem: a principal reveals a classifier, and agents report their (possibly manipulated) features to be classified. Mo…

cs.GT2023★ 3 cited

A Persuasive Approach to Combating Misinformation

Safwan Hossain, Andjela Mladenovic, Yiling Chen +1

Bayesian Persuasion is proposed as a tool for social media platforms to combat the spread of misinformation. Since platforms can use machine learning to predict the popularity and…