Julio C. S. Reis

According to our database, Julio C. S. Reis authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Can computer network attributes be useful for identifying low-credibility websites? A case study in Brazil.

João M. M. Couto, Julio C. S. Reis, Fabrício Benevenuto

Soc. Netw. Anal. Min., December, 2024

Mining Comparative Opinions in Portuguese: A Lexicon-based Approach.

Daniel Kansaon, Michele A. Brandão, Julio C. S. Reis, Fabrício Benevenuto

J. Braz. Comput. Soc., 2024

Finding Fake News Websites in the Wild.

Leandro Araújo, João M. M. Couto, Luiz Felipe Nery, Isadora C. Rodrigues, Jussara M. Almeida, Julio C. S. Reis, Fabrício Benevenuto

CoRR, 2024

A Sticker is Worth a Thousand Words: Characterizing the Use of Stickers in WhatsApp Political Groups in Brazil.

Philipe Melo, João M. M. Couto, Daniel Kansaon, Vitor Mafra, Julio C. S. Reis, Fabrício Benevenuto

CoRR, 2024

Learning Visual Patterns in Remote Sensing: An Overview of Agricultural Applications.

Mateus Pinto da Silva, Mariana Albuquerque Reynaud Schaefer, Hugo N. Oliveira, Julio C. S. Reis, Ian Monteiro Nunes, Jefersson A. dos Santos

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

A Filtering and Image Preparation Approach to Enhance OCR for Fiscal Receipts.

Manoela Auad, Sarah Alves, Gabriel Kakizaki, Julio C. S. Reis, Michel Melo Silva

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

Interpretable Approaches for Land Use and Land Cover Classification.

Ana Clara Fraga Osias, Mariana Albuquerque Reynaud Schaefer, Gustavo Vieira Veloso, Hugo Oliveira, Julio C. S. Reis

Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

Explainable Machine Learning for Alarm Prediction.

Kalleb M. M. Abreu, Julio C. S. Reis, André Gustavo dos Santos, Giorgio Zucchi

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2023

Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp.

Julio C. S. Reis, Philipe F. Melo, Fabiano Belém, Fabricio Murai, Jussara M. Almeida, Fabrício Benevenuto

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Evaluation of Optical Character Recognition (OCR) Systems Dealing with Misinformation in Portuguese.

Yago Santos, Michel Melo Silva, Julio C. S. Reis

Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023

Análise do Discurso de Ódio em Comentários de Vídeos no YouTube: Um Estudo de Caso da CPI da COVID-19 no Brasil.

Marcela C. Teixeira, Julio C. S. Reis

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification.

Samuel S. Guimarães, Gabriel Kakizaki, Philipe F. Melo, Márcio Silva, Fabricio Murai, Julio C. S. Reis, Fabrício Benevenuto

Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

2022

A Comprehensive Dataset of Brazilian Fact-Checking Stories.

Igor Marques, Isadora Salles, João M. M. Couto, Breno C. Pimenta, Samuel Assis, Julio C. S. Reis, Ana Paula Couto da Silva, Jussara Marques de Almeida, Fabrício Benevenuto

J. Inf. Data Manag., 2022

Analyzing YouTube Videos Shared on WhatsApp and Telegram Political Public Groups.

Érica Verônica Pereira, Philipe F. Melo, Manoel Júnior, Vitor O. Mafra, Julio C. S. Reis, Fabrício Benevenuto

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

Characterizing Early Electoral Advertisements on Twitter: A Brazilian Case Study.

Josemar Caetano, Samuel S. Guimarães, Marcelo M. R. Araújo, Márcio Silva, Julio C. S. Reis, Ana P. C. Silva, Fabrício Benevenuto, Jussara M. Almeida

Proceedings of the Social Informatics - 13th International Conference, 2022

Caracterizando Websites de Baixa Credibilidade no Brasil.

João M. M. Couto, Julio C. S. Reis, Ítalo Cunha, Leandro Araújo, Fabrício Benevenuto

Proceedings of the 40th Brazilian Symposium on Computer Networks and Distributed Systems, 2022

Técnicas de Mineração de Dados e Aprendizado de Máquina Aplicadas a Dados Ambientais de Uso e Cobertura de Solo.

Mariana Albuquerque Reynaud Schaefer, Carlos H. T. Brumatti, Gustavo Vieira Veloso, Jugurta Lisboa Filho, Elpídio Inácio Fernandes Filho, Julio C. S. Reis

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Justiça em Sistemas de Recomendação: Uma Análise de Técnicas de Regularização.

Rodrigo O. Lima, Giovanni Comarella, Fabiano Belém, Julio C. S. Reis

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Detecção Automática de Desinformação Relacionada à Covid-19 no Brasil.

João M. M. Couto, Isadora Salles, Breno C. Pimenta, Samuel Assis, Leandro Araújo, Julio C. S. Reis, Fabrício Benevenuto

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Identificando Websites de Desinformação no Brasil.

Leandro Araújo, Luiz Felipe Nery, Isadora C. Rodrigues, João M. M. Couto, Julio C. S. Reis, Ana P. C. Silva, Jussara M. Almeida, Fabrício Benevenuto

Proceedings of the 37th Brazilian Symposium on Databases, 2022

EarlyAd: A System for Real-Time Surveillance of Brazilian Early Electoral Ads on Twitter.

Marcelo M. R. Araújo, Samuel S. Guimarães, Márcio Silva, Josemar Caetano, Jonatas Santos, Julio C. S. Reis, Ana P. C. Silva, Fabrício Benevenuto, Jussara M. Almeida

Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

Uma metodologia para apoio à tomada de decisão em cenários de desastres ambientais utilizando dados públicos.

Carlos Henrique Tavares Brumatti, Mariana Albuquerque Reynaud Schaefer, Jugurta Lisboa Filho, Julio C. S. Reis

Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

Characterizing Low Credibility Websites in Brazil through Computer Networking Attributes.

João M. M. Couto, Julio C. S. Reis, Ítalo Cunha, Leandro Araújo, Fabrício Benevenuto

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Central de Fatos.

João M. M. Couto, Breno C. Pimenta, Igor M. Araújo, Samuel Assis, Julio C. S. Reis, Ana Paula Couto da Silva, Jussara M. Almeida, Fabrício Benevenuto

Dataset, August, 2021

Characterizing political bias and comments associated with news on Brazilian Facebook.

Samuel S. Guimarães, Julio C. S. Reis, Marisa Vasconcelos, Fabrício Benevenuto

Soc. Netw. Anal. Min., 2021

Supervised Learning for Misinformation Detection in WhatsApp.

Julio C. S. Reis, Fabrício Benevenuto

Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

2020

Portuguese Comparative Sentences: A Collection of Labeled Sentences on Twitter and Buscapé.

Daniel Kansaon, Michele A. Brandão, Julio C. S. Reis, Matheus Barbosa, Breno Matos, Fabrício Benevenuto

Dataset, October, 2020

Detecting Misinformation on WhatsApp without Breaking Encryption.

Julio C. S. Reis, Philipe de Freitas Melo, Kiran Garimella, Fabrício Benevenuto

CoRR, 2020

Mining Portuguese Comparative Sentences in Online Reviews.

Daniel Kansaon, Michele A. Brandão, Julio C. S. Reis, Matheus Barbosa, Breno de Sousa Matos, Fabrício Benevenuto

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

Characterizing Toxicity on Facebook Comments in Brazil.

Samuel S. Guimarães, Julio C. S. Reis, Filipe N. Ribeiro, Fabrício Benevenuto

Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections.

Julio C. S. Reis, Philipe F. Melo, Kiran Garimella, Jussara M. Almeida, Dean Eckles, Fabrício Benevenuto

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Identifying and Characterizing Alternative News Media on Facebook.

Samuel S. Guimarães, Julio C. S. Reis, Lucas Henrique C. Lima, Filipe N. Ribeiro, Marisa Vasconcelos, Jisun An, Haewoon Kwak, Fabrício Benevenuto

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Characterizing (Un)moderated Textual Data in Social Systems.

Lucas Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Fabrício Benevenuto

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Supervised Learning for Fake News Detection.

Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto, Erik Cambria

IEEE Intell. Syst., 2019

Analyzing Textual (Mis)Information Shared in WhatsApp Groups.

Gustavo Resende, Philipe F. Melo, Julio C. S. Reis, Marisa Vasconcelos, Jussara M. Almeida, Fabrício Benevenuto

Proceedings of the 11th ACM Conference on Web Science, 2019

Explainable Machine Learning for Fake News Detection.

Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto

Proceedings of the 11th ACM Conference on Web Science, 2019

2018

Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System.

Lucas Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Leandro Araújo, Pantelis Vikatos, Fabrício Benevenuto

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018