Papers by Fabiana Rodrigues de Góes

1 papers
HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection (2022.lrec-1)

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Challenge: In Brazil, hate speech is prohibited, however the regulation is not effective due to the difficulty of identifying, quantifying and classifying this kind of online content.
Approach: They propose to annotate a large corpus of Brazilian Instagram comments manually and to use it to detect hate speech and offensive language.
Outcome: The HateBR corpus was collected from the comment section of Brazilian politicians’ accounts on Instagram and manually annotated by specialists, reaching a high inter-annotator agreement.

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