68 citations · 265 across the 19 of their papers we have counts for
21 papers
Auditing Radicalization Pathways on YouTube
Manoel Horta Ribeiro, Raphael Ottoni, Robert West +2
Non-profits, as well as the media, have hypothesized the existence of a radicalization pipeline on YouTube, claiming that users systematically progress towards more extreme content…
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…
"Everything I Disagree With is #FakeNews": Correlating Political Polarization and Spread of Misinformation
Manoel Horta Ribeiro, Pedro H. Calais, Virgílio A. F. Almeida +1
An important challenge in the process of tracking and detecting the dissemination of misinformation is to understand the political gap between people that engage with the so called…
Characterizing videos, audience and advertising in Youtube channels for kids
Camila Souza Araujo, Gabriel Magno, Wagner Meira +3
Online video services, messaging systems, games and social media services are tremendously popular among young people and children in many countries. Most of the digital services o…
Enhancement of Epidemiological Models for Dengue Fever Based on Twitter Data
Julio Albinati, Wagner Meira, Gisele L. Pappa +2
Epidemiological early warning systems for dengue fever rely on up-to-date epidemiological data to forecast future incidence. However, epidemiological data typically requires time t…
Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition
Manoel Horta Ribeiro, Bruno Teixeira, Antônio Otávio Fernandes +2
Many of the state-of-the-art algorithms for gesture recognition are based on Conditional Random Fields (CRFs). Successful approaches, such as the Latent-Dynamic CRFs, extend the CR…
Portinari: A Data Exploration Tool to Personalize Cervical Cancer Screening
Sagar Sen, Manoel Horta Ribeiro, Raquel C. de Melo Minardi +2
Socio-technical systems play an important role in public health screening programs to prevent cancer. Cervical cancer incidence has significantly decreased in countries that develo…
Antagonism also Flows through Retweets: The Impact of Out-of-Context Quotes in Opinion Polarization Analysis
Pedro Calais Guerra, Roberto C. S. N. P. Souza, Renato M. Assunção +1
In this paper, we study the implications of the commonplace assumption that most social media studies make with respect to the nature of message shares (such as retweets) as a pred…
Stereotypes in Search Engine Results: Understanding The Role of Local and Global Factors
Gabriel Magno, Camila Souza Araújo, Wagner Meira +1
The internet has been blurring the lines between local and global cultures, affecting in different ways the perception of people about themselves and others. In the global context…
An Accurate Gaussian Process-Based Early Warning System for Dengue Fever
Julio Albinati, Wagner Meira, Gisele Lobo Pappa
Dengue fever is a mosquito-borne disease present in all Brazilian territory. Brazilian government, however, lacks an accurate early warning system to quickly predict future dengue…
Identifying Stereotypes in the Online Perception of Physical Attractiveness
Camila Souza Araújo, Wagner Meira, Virgilio Almeida
Stereotyping can be viewed as oversimplified ideas about social groups. They can be positive, neutral or negative. The main goal of this paper is to identify stereotypes for female…
A latent shared-component generative model for real-time disease surveillance using Twitter data
Roberto C. S. N. P. Souza, Denise E. F de Brito, Renato M. Assunção +1
Exploiting the large amount of available data for addressing relevant social problems has been one of the key challenges in data mining. Such efforts have been recently named "data…
Studying User Footprints in Different Online Social Networks
Anshu Malhotra, Luam Totti, Wagner Meira +2
With the growing popularity and usage of online social media services, people now have accounts (some times several) on multiple and diverse services like Facebook, LinkedIn, Twitt…
Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms
George Teodoro, Eduardo Valle, Nathan Mariano +3
Similarity search in high-dimentional spaces is a pivotal operation found a variety of database applications. Recently, there has been an increase interest in similarity search for…
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
Arlei Silva, Wagner Meira, Mohammed J. Zaki
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern mining…
Mining Biclusters of Similar Values with Triadic Concept Analysis
Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko +2
Biclustering numerical data became a popular data-mining task in the beginning of 2000's, especially for analysing gene expression data. A bicluster reflects a strong association b…