activity
20022022
most citedViral Misinformation: The Role of Homophily and Polarization

25 citations · 101 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2022★ 17 cited

Learning Double-Compression Video Fingerprints Left from Social-Media Platforms

Irene Amerini, Aris Anagnostopoulos, Luca Maiano +1

Social media and messaging apps have become major communication platforms. Multimedia contents promote improved user engagement and have thus become a very important communication…

cs.LG2022★ 4 cited

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes

Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci +13

The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This…

cs.CV2021★ 18 cited

Identification of Social-Media Platform of Videos through the Use of Shared Features

Luca Maiano, Irene Amerini, Lorenzo Ricciardi Celsi +1

Videos have become a powerful tool for spreading illegal content such as military propaganda, revenge porn, or bullying through social networks. To counter these illegal activities…

cs.MA2020★ 7 cited

Biased Opinion Dynamics: When the Devil Is in the Details

Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani +2

We investigate opinion dynamics in multi-agent networks when a bias toward one of two possible opinions exists; for example, reflecting a status quo vs a superior alternative. Star…

cs.SI2020

How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics?

Cristina Menghini, Aris Anagnostopoulos, Eli Upfal

Wikipedia relies on an extensive review process to verify that the content of each individual page is unbiased and presents a neutral point of view. Less attention has been paid to…

q-fin.RM2020

Firms Default Prediction with Machine Learning

Tesi Aliaj, Aris Anagnostopoulos, Stefano Piersanti

Academics and practitioners have studied over the years models for predicting firms bankruptcy, using statistical and machine-learning approaches. An earlier sign that a company ha…