44 citations · 95 across the 7 of their papers we have counts for
12 papers
Graph Pattern Mining and Learning through User-defined Relations (Extended Version)
Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro +1
In this work we propose R-GPM, a parallel computing framework for graph pattern mining (GPM) through a user-defined subgraph relation. More specifically, we enable the computation…
Characterizing the public perception of WhatsApp through the lens of media
Josemar Alves Caetano, Gabriel Magno, Evandro Cunha +3
WhatsApp is, as of 2018, a significant component of the global information and communication infrastructure, especially in developing countries. However, probably due to its strong…
Analyzing Right-wing YouTube Channels: Hate, Violence and Discrimination
Raphael Ottoni, Evandro Cunha, Gabriel Magno +3
As of 2018, YouTube, the major online video sharing website, hosts multiple channels promoting right-wing content. In this paper, we observe issues related to hate, violence and di…
Analyzing and characterizing political discussions in WhatsApp public groups
Josemar Alves Caetano, Jaqueline Faria de Oliveira, Helder Seixas Lima +4
We present a thorough characterization of what we believe to be the first significant analysis of the behavior of groups in WhatsApp in the scientific literature. Our characterizat…
Characterizing and Detecting Hateful Users on Twitter
Manoel Horta Ribeiro, Pedro H. Calais, Yuri A. Santos +2
Most current approaches to characterize and detect hate speech focus on \textit{content} posted in Online Social Networks. They face shortcomings to collect and annotate hateful sp…
"Like Sheep Among Wolves": Characterizing Hateful Users on Twitter
Manoel Horta Ribeiro, Pedro H. Calais, Yuri A. Santos +2
Hateful speech in Online Social Networks (OSNs) is a key challenge for companies and governments, as it impacts users and advertisers, and as several countries have strict legislat…