The increasing availability of textual corpora and data fetched from social networks is
fuelling a huge production of works based on the model proposed by psychologist Robert …

Studies on online hate speech have mostly focused on the automated detection of harmful
messages. Little attention has been devoted so far to the development of effective strategies …

The paper proposes an investigation on the role of populist themes and rhetoric in an Italian
Twitter corpus of hate speech against immigrants. The corpus has been annotated with four …

The presence and integration of immigrants is one of the most controversial issues in our
society, and given current worldwide political instabilities, it will likely become ever more …

This research article presents an investigation into a hate speech dataset that contains
2,478 tweets. The dataset was meticulously annotated by human annotators, and it includes …

Este estudo aborda o fenômeno da desinformação ea disseminação do discurso de ódio
nas redes sociais como prelúdio da campanha de boicote# StopHateforProfit no Facebook …

The availability of large annotated corpora from social media and the development of
powerful classification approaches have contributed in an unprecedented way to tackle the …

In this this paper, we propose a new interactive visualization site allowing readers to better
understand the emotions associated with 483 subreddits. These visualizations are based …

This paper describes two models for data science courses offered by computer science
programs at two different universities. At both institutions the data science course serves as …

Nota1: dal 2015/16 'Reti Complesse'(6 cfu) è rinominato ed esteso in 'Analisi e
Visualizzazione di Reti Complesse'(9 cfu). Nello stesso anno accademico, l'insegnamento è …