Reducing and counter-acting hate speech on Social Media is a significant concern. Most of
the proposed automatic methods are conducted exclusively on English and very few …

Users of online platforms have negative effects on their mental health as a direct result of the
spread of abusive content across social media networks. Homophobia are terms that refer to …

Introduction One of the consequences of the increase in the number of social network users
has been the inappropriate use of social networks by some of these users. Hate speeches …

Sánchez-Sánchez, AM, Ruiz-Muñoz, D. & Sánchez-Sánchez, FJ (2023). Research trends in
the control of hate speech on social media for the 2016–2022 time frame. Cuadernos …

In this paper, we describe our approach for the task of homophobia and transphobia
detection in English social media comments. The dataset consists of YouTube comments …

Warning: This paper contains examples of language that some people may find offensive.
Transformer-based Natural Language Processing models have become the standard for …

The increasing recognition of diversity has brought about a rise in bias-based aggression,
with researchers focusing on its prevalence among youth. This has generated the need for a …

Online hate speech is a dangerous phenomenon that can (and should) be promptly
counteracted properly. While Natural Language Processing supplies appropriate algorithms …

We target the complementary binary tasks of identifying whether a tweet is misogynous and,
if that is the case, whether it is also aggressive. We compare two ways to address these …

Readability assessment is the task of determining how difficult or easy a text is or which
level/grade it has. Traditionally, language dependent readability formula have been used …