9 papers
Beyond Distributive Justice: Hermeneutical Fairness in Ad Delivery
Camilla Quaresmini, Valentina Breschi, Jessica Leoni +3
Fairness in online advertising is often formalized as a distributive justice problem, aiming to ensure that impressions, opportunities, or outcomes are allocated comparably across…
Recommender Systems as Control Systems
Giulia De Pasquale, Sarah Dean, Paolo Frasca
We propose a control-theoretic interpretation of recommender systems and use this perspective to analyze how fairness interventions shape long-term system behavior. Fairness concer…
Socially-Aware Recommender Systems Mitigate Opinion Clusterization
Lukas Schüepp, Carmen Amo Alonso, Florian Dörfler +1
Recommender systems shape online interactions by matching users with creators content to maximize engagement. Creators, in turn, adapt their content to align with users preferences…
Learning to Control Misinformation: a Closed-loop Approach for Misinformation Mitigation over Social Networks
Nicolo' Pagan, Andreas Philippou, Giulia De Pasquale
Modern social networks rely on recommender systems that inadvertently amplify misinformation by prioritizing engagement over content veracity. We present a control framework that m…
Data-driven Control of Hypergraphs: Leveraging THIS to Damp Noise in Diffusive Hypergraphs
Robin Delabays, Yuanzhao Zhang, Florian Dörfler +1
Controllability determines whether a system's state can be guided toward any desired configuration, making it a fundamental prerequisite for designing effective control strategies.…
System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings
Lukas Schüepp, Giulia De Pasquale, Florian Dörfler +1
There is an increasing need for effective control of systems with complex dynamics, particularly through data-driven approaches. System Level Synthesis (SLS) has emerged as a power…