HATE COVID-19
Detecting Overt and Covert Hate Speech in Social Media
Summary
This project seeks to contribute to the analysis and detection of online hate speech in Portuguese,
investigating the linguistic and rhetorical strategies underlying both overt and covert hatred content.
Specifically, the key objectives of this project are twofold. Firstly, it attempts to develop methods for
creating a large-scale Portuguese annotated corpus covering both overt and covert online hate speech,
before and during the Covid-19 pandemic. Secondly, it intends to develop a machine learning prototype
that demonstrates how the information in the annotated corpus can support hate speech detection,
considering attributes like hate speech target, and highlighting the linguistic and rhetorical clues
underlying hatred content.
Start/End
01/05/2021 - 30/07/2022
Funding scheme
Fundação para a Ciência e Tecnologia
Project reference
759274510
Partners
LUSA, Centro Nacional de Cibersegurança
Project website
HCI Subfields
Blending Interaction: Engineering Interactive Systems & Tools; Critical Computing; Learning, Education, and Families; Specific Applications Areas; Sustainability, and Social Justice; Understanding People