30 citations · 32 across the 6 of their papers we have counts for
7 papers
Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems
Aleksandra Urman, Elsa Lichtenegger, Salima Jaoua +7
Commercial text-to-image systems silently revise user prompts before generating images, a step users typically cannot disable or even see. Yet, existing audits of cultural bias exa…
Computational Turing Test Reveals Systematic Differences Between Human and AI Language
Nicolò Pagan, Petter Törnberg, Christopher A. Bail +2
Large language models (LLMs) are increasingly used in the social sciences to simulate human behavior, based on the assumption that they can generate realistic, human-like text. Yet…
The Order of Recommendation Matters: Structured Exploration for Improving the Fairness of Content Creators
Salima Jaoua, Nicolò Pagan, Anikó Hannák +1
Social media platforms provide millions of professional content creators with sustainable incomes. Their income is largely influenced by their number of views and followers, which…
The Impact of Recommendation Systems on Opinion Dynamics: Microscopic versus Macroscopic Effects
Nicolas Lanzetti, Florian Dörfler, Nicolò Pagan
Recommendation systems are widely used in web services, such as social networks and e-commerce platforms, to serve personalized content to the users and, thus, enhance their experi…
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Nicolò Pagan, Joachim Baumann, Ezzat Elokda +3
Prediction-based decision-making systems are becoming increasingly prevalent in various domains. Previous studies have demonstrated that such systems are vulnerable to runaway feed…
Individual Fairness for Social Media Influencers
Stefania Ionescu, Nicolo Pagan, Aniko Hannak
Nowadays, many social media platforms are centered around content creators (CC). On these platforms, the tie formation process depends on two factors: (a) the exposure of users to…
Data-Driven Behaviour Estimation in Parametric Games
Anna M. Maddux, Nicolò Pagan, Giuseppe Belgioioso +1
A central question in multi-agent strategic games deals with learning the underlying utilities driving the agents' behaviour. Motivated by the increasing availability of large data…