A Brazilian Portuguese Moral Foundations Dictionary for Fake News classification

A Brazilian Portuguese Moral Foundations Dictionary for Fake News classification

The Moral Foundations Theory defines foundations to explain human moral reasoning and its role in the decision-making process, including how information is perceived and interpreted. A problem related to aspects of moral values that is currently gaining notoriety is the spread of false information k...

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Bibliographic Details
Published in:2020 39th International Conference of the Chilean Computer Science Society (SCCC) pp. 1 - 5
Main Authors: Carvalho, Flavio, Okuno, Helder Yukio, Baroni, Lais, Guedes, Gustavo
Format: Conference Proceeding
Language:English
Published: IEEE 16-11-2020
Subjects:
Fake News
Lexicon
MFD
Moral Foundations
Natural Language Processing
Sentiment Analysis
Online Access:Get full text
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Summary:The Moral Foundations Theory defines foundations to explain human moral reasoning and its role in the decision-making process, including how information is perceived and interpreted. A problem related to aspects of moral values that is currently gaining notoriety is the spread of false information known as "Fake News". Natural language processing techniques are being used in social sciences studies to deal with the Fake News detection task. This work introduces and brings details from the development of MFD-BR, a Brazilian Portuguese lexicon based on the Moral Foundations Theory, designed to measure Moral Sentiment in texts. It also contributes to Fake News detection strategies by assessing the difference in moral dimensions to distinguish between reliable sources texts and texts originated from low-reputation sources (considered by fact-checking agencies).
DOI:10.1109/SCCC51225.2020.9281258