activity
20192024
most citedDeconstructing the Filter Bubble: User Decision-Making and Recommender Systems

3 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IR2024

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems

Guy Aridor, Duarte Goncalves, Ruoyan Kong +2

An increasingly important aspect of designing recommender systems involves considering how recommendations will influence consumer choices. This paper addresses this issue by intro…

econ.TH2024

Speed, Accuracy, and Complexity

Duarte Gonçalves

This paper studies when response time is informative about problem complexity. It revisits a canonical sequential-sampling model in which a decision-maker chooses when to stop acqu…

econ.TH2023

Quantal Response Equilibrium with a Continuum of Types: Characterization and Nonparametric Identification

Evan Friedman, Duarte Gonçalves

Quantal response equilibrium (QRE), a statistical generalization of Nash equilibrium, is a standard benchmark in the analysis of experimental data. Despite its influence, nonparame…

econ.TH2023

The Dynamics of Instability

César Barilla, Duarte Gonçalves

We study a model in which two players with opposing interests try to alter a status quo through instability-generating actions. We show that instability can be used to secure longe…

econ.GN2022

The Informational Role of Online Recommendations: Evidence from a Field Experiment

Guy Aridor, Duarte Goncalves, Daniel Kluver +2

We conduct a field experiment on a movie-recommendation platform to investigate whether and how online recommendations influence consumption choices. Using a within-subjects design…

econ.GN2021

Retractions: Updating from Complex Information

Duarte Gonçalves, Jonathan Libgober, Jack Willis

We modify a canonical experimental design to identify the effectiveness of retractions. Comparing beliefs after retractions to beliefs (a) without the retracted information and (b)…

cs.CY2019★ 3 cited

Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems

Guy Aridor, Duarte Goncalves, Shan Sikdar

We study a model of user decision-making in the context of recommender systems via numerical simulation. Our model provides an explanation for the findings of Nguyen, et. al (2014)…