Automatic Classification of Sexism in Social Networks: An Empirical Study on Twitter Data

During the last decade, hateful and sexist content towards women is being increasingly spread on social networks. The exposure to sexist speech has serious consequences to women's life and limits their freedom of speech. Previous studies have focused on identifying hatred or violence towards wo...

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Bibliographic Details
Main Authors: Francisco Rodriguez-Sanchez, Jorge Carrillo-de-Albornoz, Laura Plaza
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9281090/