Zobrazeno 1 - 10
of 1 036
pro vyhledávání: '"Giordano Silvia"'
Autor:
Sahneh, Erfan Samieyan, Nogara, Gianluca, DeVerna, Matthew R., Liu, Nick, Luceri, Luca, Menczer, Filippo, Pierri, Francesco, Giordano, Silvia
Bluesky is a Twitter-like decentralized social media platform that has recently grown in popularity. After an invite-only period, it opened to the public worldwide on February 6th, 2024. In this paper, we provide a longitudinal analysis of user activ
Externí odkaz:
http://arxiv.org/abs/2408.03146
Autor:
Mousavi, S. M. Hossein, Besenzoni, Matteo, Andreoletti, Davide, Peternier, Achille, Giordano, Silvia
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount importance to enhance users experience. However, several issues are hi
Externí odkaz:
http://arxiv.org/abs/2407.09110
Autor:
Ezzeddine, Fatima, Saad, Mirna, Ayoub, Omran, Andreoletti, Davide, Gjoreski, Martin, Sbeity, Ihab, Langheinrich, Marc, Giordano, Silvia
Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at identifying observations within a dataset that significantly deviate from the expected pattern of the majority of the data. Such a process finds wide app
Externí odkaz:
http://arxiv.org/abs/2404.06144
Autor:
Ayoub, Omran, Andreoletti, Davide, Knapińska, Aleksandra, Goścień, Róża, Lechowicz, Piotr, Leidi, Tiziano, Giordano, Silvia, Rottondi, Cristina, Walkowiak, Krzysztof
Adapting to concept drift is a challenging task in machine learning, which is usually tackled using incremental learning techniques that periodically re-fit a learning model leveraging newly available data. A primary limitation of these techniques is
Externí odkaz:
http://arxiv.org/abs/2404.05304
In recent years, there has been a notable increase in the deployment of machine learning (ML) models as services (MLaaS) across diverse production software applications. In parallel, explainable AI (XAI) continues to evolve, addressing the necessity
Externí odkaz:
http://arxiv.org/abs/2404.03348
The kick-off of vaccination campaigns in Europe, starting in late December 2020, has been followed by the online spread of controversies and conspiracies surrounding vaccine validity and efficacy. We study Twitter discussions in three major European
Externí odkaz:
http://arxiv.org/abs/2402.03763
Autor:
Nogara, Gianluca, Pierri, Francesco, Cresci, Stefano, Luceri, Luca, Törnberg, Petter, Giordano, Silvia
Proprietary public APIs play a crucial and growing role as research tools among social scientists. Among such APIs, Google's machine learning-based Perspective API is extensively utilized for assessing the toxicity of social media messages, providing
Externí odkaz:
http://arxiv.org/abs/2312.12651
In this paper, we study the behavior of users on Online Social Networks in the context of Covid-19 vaccines in Italy. We identify two main polarized communities: Provax and Novax. We find that Novax users are more active, more clustered in the networ
Externí odkaz:
http://arxiv.org/abs/2311.06520
Autor:
Bouleimen, Azza, Pagan, Nicolò, Cresci, Stefano, Urman, Aleksandra, Nogara, Gianluca, Giordano, Silvia
Several one-fits-all intervention policies were introduced by the Online Social Networks (OSNs) platforms to mitigate potential harms. Nevertheless, some studies showed the limited effectiveness of these approaches. An alternative to this would be a
Externí odkaz:
http://arxiv.org/abs/2309.03701
Autor:
Bouleimen, Azza, Luceri, Luca, Cardoso, Felipe, Botturi, Luca, Hermida, Martin, Addimando, Loredana, Beretta, Chiara, Galloni, Marzia, Giordano, Silvia
With the spread of high-speed Internet and portable smart devices, the way people access and consume information has drastically changed. However, this presents many challenges, including information overload, personal data leakage, and misinformatio
Externí odkaz:
http://arxiv.org/abs/2303.13138