Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study

Autor: Virginia Morini, Laura Pollacci, Giulio Rossetti

Publikováno v: Applied Sciences, Vol 11, Iss 12, p 5390 (2021)

In a digital environment, the term echo chamber refers to an alarming phenomenon in which beliefs are amplified or reinforced by communication repetition inside a closed system and insulated from rebuttal. Up to date, a formal definition, as well as

Externí odkaz: https://doaj.org/article/1f51dbe5bf024a2185466c969df79cec

Exposing racial dialect bias in abusive language detection: can explainability play a role?

Autor: Marta Marchiori Manerba, Virginia Morini

Publikováno v: ECML PKDD 2022-Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 483–497, Grenoble, France, 19-23/09/2022
Communications in Computer and Information Science ISBN: 9783031236174

Biases can arise and be introduced during each phase of a supervised learning pipeline, eventually leading to harm. Within the task of automatic abusive language detection, this matter becomes particularly severe since unintended bias towards sensiti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::833d9fd0fcd70b2abcea59d294237317
https://openportal.isti.cnr.it/doc?id=people______::fa577cc03550d472fe22c71ada549a45

Towards a Social Artificial Intelligence

Autor: Dino Pedreschi, Frank Dignum, Virginia Morini, Valentina Pansanella, Giuliano Cornacchia

Publikováno v: Human-Centered Artificial Intelligence ISBN: 9783031243486
Human-Centered Artificial Intelligence, edited by Chetouani M., Dignum V., Lukowicz P., Sierra C., pp. 415–428, 2023

Artificial Intelligence can both empower individuals to face complex societal challenges and exacerbate problems and vulnerabilities, such as bias, inequalities, and polarization. For scientists, an open challenge is how to shape and regulate human-c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e85accd63eaa4b0be10bd6d80097cb8
https://doi.org/10.1007/978-3-031-24349-3_21

UTLDR: an agent-based framework for modeling infectious diseases and public interventions

Autor: Letizia Milli, Salvatore Citraro, Giulio Rossetti, Virginia Morini

Publikováno v: Journal of Intelligent Information Systems
Journal of intelligent information systems (2021). doi:10.1007/s10844-021-00649-6
info:cnr-pdr/source/autori:Rossetti G.; Milli L.; Citraro S.; Morini V./titolo:UTLDR: an agent-based framework for modeling infectious diseases and public interventions/doi:10.1007%2Fs10844-021-00649-6/rivista:Journal of intelligent information systems/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume

Nowadays, due to the SARS-CoV-2 pandemic, epidemic modelling is experiencing a constantly growing interest from researchers of heterogeneous fields of study. Indeed, the vast literature on computational epidemiology offers solid grounds for analytica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b90c34d947b2d2018a4363d3d4737f9
https://pubmed.ncbi.nlm.nih.gov/34155422