As virality has become increasingly central in shaping information sources' strategies, it raises concerns about its consequences for society, particularly when referring to the impact of viral news on the public discourse. Nonetheless, there has been little consideration of whether these viral events genuinely boost the attention received by the source. To address this gap, we analyze content timelines from over 1000 European news outlets from 2018 to 2023 on Facebook and YouTube, employing a Bayesian structural time series model to evaluate the impact of viral posts.
View Article and Find Full Text PDFMixed membership models, or partial membership models, are a flexible unsupervised learning method that allows each observation to belong to multiple clusters. In this paper, we propose a Bayesian mixed membership model for functional data. By using the multivariate Karhunen-Loève theorem, we are able to derive a scalable representation of Gaussian processes that maintains data-driven learning of the covariance structure.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
December 2024
Allergol Immunopathol (Madr)
November 2024
Background: Hypersensitivity to chlorhexidine is rare in children. The usefulness of different diagnostic tests for allergic contact dermatitis (ACD) is unknown.
Objective: We aim to describe a case series of children with hypersensitivity to chlorhexidine and to compare the results of different diagnostic tests.