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Publications associées (62)
Content Moderation in Online Platforms
A critical role of online platforms like Facebook, Wikipedia, YouTube, Amazon, Doordash, and Tinder is to moderate content. Interventions like banning users or deleting comments are carried out thousands of times daily and can potentially improve our onlin ...
EPFL2024Incentive Mechanism in the Sponsored Content Market With Network Effects
We propose an incentive mechanism for the sponsored content provider (CP) market in which the communication of users can be represented by a graph, and the private information of the users is assumed to have a continuous distribution function. The CP stipu ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Deplatforming did not decrease Parler users' activity on fringe social media
Robert West, Manoel Horta Ribeiro
Online platforms have banned ("deplatformed") influencers, communities, and even entire websites to reduce content deemed harmful. Deplatformed users often migrate to alternative platforms, which raises concerns about the effectiveness of deplatforming. He ...
OXFORD UNIV PRESS2023Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints
Colin Neil Jones, Yuning Jiang, Bratislav Svetozarevic, Wenjie Xu
This paper studies the problem of online performance optimization of constrained closed-loop control systems, where both the objective and the constraints are unknown black-box functions affected by exogenous time-varying contextual disturbances. A primal- ...
New York2023Protecting privacy through metadata analysis
Although encryption hides the content of communications from third parties, metadata, i.e., the information attached to the content (such as the size or timing of communication) can be a rich source of details and context. In this dissertation, we demonstr ...
EPFL2022