Tootfinder

The Impact of Generative AI on Social Media: An Experimental Study
Anders Giovanni M{\o}ller, Daniel M. Romero, David Jurgens, Luca Maria Aiello
https://arxiv.org/abs/2506.14295

The Impact of Generative AI on Social Media: An Experimental Study
Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platforms, yet their implications for user behavior and experience remain understudied, particularly regarding two critical dimensions: (1) how AI tools affect the behaviors of content producers in a social media context, and (2) how content generated with AI assistance is perceived by users. To fill this gap, we conduct a controlled experiment with a representative sample of 680 U.S. participants in a r…

Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models
Tien Ngoc Ha, Daniel Romero
https://arxiv.org/abs/2508.06037 https://ar…

Bayesian Radio Map Estimation: Fundamentals and Implementation via Diffusion Models
Radio map estimation (RME) is the problem of inferring the value of a certain metric (e.g. signal power) across an area of interest given a collection of measurements. While most works tackle this problem from a purely non-Bayesian perspective, some Bayesian estimators have been proposed. However, the latter focus on estimating the map itself, the Bayesian standpoint is adopted mainly to exploit prior information or to capture uncertainty. This paper pursues a more general formulation, where th…