activity
20022019
most citedCharacterizing Attention Cascades in WhatsApp Groups

40 citations · 66 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SI2019★ 40 cited

Characterizing Attention Cascades in WhatsApp Groups

Josemar Alves Caetano, Gabriel Magno, Marcos Gonçalves +3

An important political and social phenomena discussed in several countries, like India and Brazil, is the use of WhatsApp to spread false or misleading content. However, little is…

cs.CL2017

10Sent: A Stable Sentiment Analysis Method Based on the Combination of Off-The-Shelf Approaches

Philipe F. Melo, Daniel H. Dalip, Manoel M. Junior +2

Sentiment analysis has become a very important tool for analysis of social media data. There are several methods developed for this research field, many of them working very differ…

cs.SI2014★ 3 cited

Improving the Effectiveness of Content Popularity Prediction Methods using Time Series Trends

Flavio Figueiredo, Marcos André Gonçalves, Jussara M. Almeida

We here present a simple and effective model to predict the popularity of web content. Our solution, which is the winner of two of the three tasks of the ECML/PKDD 2014 Predictive…

cs.SI2014

TrendLearner: Early Prediction of Popularity Trends of User Generated Content

Flavio Figueiredo, Jussara M. Almeida, Marcos André Gonçalves +1

We here focus on the problem of predicting the popularity trend of user generated content (UGC) as early as possible. Taking YouTube videos as case study, we propose a novel two-st…

cs.SI2014★ 7 cited

On the Dynamics of Social Media Popularity: A YouTube Case Study

Flavio Figueiredo, Jussara M. Almeida, Marcos André Gonçalves +1

Understanding the factors that impact the popularity dynamics of social media can drive the design of effective information services, besides providing valuable insights to content…

cs.IR2013★ 4 cited

Is Learning to Rank Worth It? A Statistical Analysis of Learning to Rank Methods

Guilherme de Castro Mendes Gomes, Vitor Campos de Oliveira, Jussara Marques de Almeida +1

The Learning to Rank (L2R) research field has experienced a fast paced growth over the last few years, with a wide variety of benchmark datasets and baselines available for experim…