Multi-dimensional feature extraction for the identification of online harm spreaders

DANIELA GODOY

Rio de Janeiro

Workshop; Latin American Workshop on Information Fusion (LAFUSION2023); 2023

Identifying online harm spreaders, such as fake news or hate speech spreaders, has become an important problem to prevent the propagation of low-quality content online. In this work, several dimensions of the user behaviour are defined to analyze this type of users and a set of features are extracted within each dimension, leveraging mostly lexicons, in order to better characterize spreaders and help to its detection.