Analysis and characterisation of deceptive texts written in Portuguese using text processing methods

• Grant number: 18/03129-8
• Support Opportunities: Scholarships in Brazil - Master
• Start date: June 01, 2018
• End date: May 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: Evandro Eduardo Seron Ruiz
• Grantee: Emerson Yoshiaki Okano
• Host Institution: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

The web is an environment where people post and search any type of information of the most diverse topics. However, the information found in the web is not always truthful. There are some malicious users who post deceptive information with the intention to manipulate or deceive people. One of the ways to detect false information is using text processing. Nowadays there are studies directed to the English language to identify deceptive texts, but there are few related work concerning the Portuguese language. Our thesis is that the Portuguese language can present specific and possibly different characteristics than the English. Therefore, the goal of this project is to analyze and characterize intentionally deceitful text written in Portuguese using text processing methods. This goal will be achieved through the extraction of textual features supported by both, the Linguistic and Psycholinguistic computable approaches. We also foresee to contribute with a classification approach using supervised machine learning algorithms. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

OKANO, EMERSON YOSHIAKI; LIU, ZEBIN; JI, DONGHONG; RUIZ, EVANDRO EDUARDO SERON; QUARESMA, P; VIEIRA, R; ALUISIO, S; MONIZ, H; BATISTA, F; GONCALVES, T. Fake News Detection on Fake.Br Using Hierarchical Attention Networks. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2020, v. 12037, p. 10-pg., 2020-01-01. (18/03129-8)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

OKANO, Emerson Yoshiaki. Analysis and characterization of intentionally deceptive texts written in Portuguese using text processing methods. 2020. Master's Dissertation - Universidade de São Paulo (USP). Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (PCARP/BC) Ribeirão Preto.