82 citations · 101 across the 7 of their papers we have counts for
3 papers · 1 filter
Characterizing Long-Running Political Phenomena on Social Media
Emre Calisir, Marco Brambilla
Social media provides many opportunities to monitor and evaluate political phenomena such as referendums and elections. In this study, we propose a set of approaches to analyze lon…
T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling
Giorgia Ramponi, Pavlos Protopapas, Marco Brambilla +1
In this paper we propose a data augmentation method for time series with irregular sampling, Time-Conditional Generative Adversarial Network (T-CGAN). Our approach is based on Cond…
A User Modeling Pipeline for Studying Polarized Political Events in Social Media
Roberto Napoli, Ali Mert Ertugrul, Alessandro Bozzon +1
This paper presents a user modeling pipeline to analyze discussions and opinions shared on social media regarding polarized political events (e.g., public polls). The pipeline foll…