no code implementations • LREC 2022 • Francielle Vargas, Jonas D‘Alessandro, Zohar Rabinovich, Fabrício Benevenuto, Thiago Pardo
Most information is passed on in the form of language.
no code implementations • RANLP 2021 • Francielle Vargas, Fabrício Benevenuto, Thiago Pardo
Statements that are intentionally misstated (or manipulated) are of considerable interest to researchers, government, security, and financial systems.
no code implementations • 23 Jan 2024 • Guilherme H. Resende, Luiz F. Nery, Fabrício Benevenuto, Savvas Zannettou, Flavio Figueiredo
One explanation for this bias is that AI models are trained on limited datasets, and using such a term in training data is more likely to appear in a toxic utterance.
no code implementations • 27 Jan 2023 • Francielle Vargas, Kokil Jaidka, Thiago A. S. Pardo, Fabrício Benevenuto
Automated news credibility and fact-checking at scale require accurately predicting news factuality and media bias.
no code implementations • RANLP 2021 • Francielle Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo
Since a lexicon-based approach is more elegant scientifically, explaining the solution components and being easier to generalize to other applications, this paper provides a new approach for offensive language and hate speech detection on social media.
no code implementations • LREC 2022 • Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo
Due to the severity of the social media offensive and hateful comments in Brazil, and the lack of research in Portuguese, this paper provides the first large-scale expert annotated corpus of Brazilian Instagram comments for hate speech and offensive language detection.
no code implementations • 28 Jan 2020 • Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Vaz de Melo, Oana Goga, Fabrício Benevenuto
Concerned with the risk of the same kind of abuse to happen in the 2018 Brazilian elections, we designed and deployed an independent auditing system to monitor political ads on Facebook in Brazil.
no code implementations • 21 Nov 2017 • Philipe F. Melo, Daniel H. Dalip, Manoel M. Junior, Marcos A. Gonçalves, Fabrício Benevenuto
Our self-learning approach is also very independent of the base methods, which means that it is highly extensible to incorporate any new additional method that can be envisioned in the future.
no code implementations • 9 Apr 2016 • Moisés H. R. Pereira, Flávio L. C. Pádua, Adriano C. M. Pereira, Fabrício Benevenuto, Daniel H. Dalip
This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents.
no code implementations • 6 Dec 2015 • Filipe Nunes Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Fabrício Benevenuto, Marcos André Gonçalves
In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to this theme have been developed.
no code implementations • 30 May 2014 • Pollyanna Gonçalves, Matheus Araújo, Fabrício Benevenuto, Meeyoung Cha
Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services, and simply to better understand aspects of social communication in Online Social Networks (OSNs).
2 code implementations • 8 Aug 2013 • Pollyanna Gonçalves, Fabrício Benevenuto, Meeyoung Cha
Online social networks have become a major communication platform, where people share their thoughts and opinions about any topic real-time.
Social and Information Networks Physics and Society