Resources and benchmark corpora for hate speech detection: a systematic review

F Poletto, V Basile, M Sanguinetti, C Bosco… - Language Resources …, 2021 - Springer
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

[PDF][PDF] Haspeede 2@ evalita2020: Overview of the evalita 2020 hate speech detection task

M Sanguinetti, G Comandini, E Di Nuovo… - … Campaign of Natural …, 2020 - research.rug.nl
Abstract The Hate Speech Detection (HaSpeeDe 2) task is the second edition of a shared
task on the detection of hateful content in Italian Twitter messages. HaSpeeDe 2 is …

Comparing pre-trained language models for Spanish hate speech detection

FM Plaza-del-Arco, MD Molina-González… - Expert Systems with …, 2021 - Elsevier
Nowadays, due to the great uncontrolled content posted daily on the Web, there has also
been a huge increase in the dissemination of hate speech worldwide. Social media, blogs …

Using Twitter to track immigration sentiment during early stages of the COVID-19 pandemic

F Rowe, M Mahony, E Graells-Garrido, M Rango… - Data & Policy, 2021 - cambridge.org
Large-scale coordinated efforts have been dedicated to understanding the global health and
economic implications of the COVID-19 pandemic. Yet, the rapid spread of discrimination …

Killing me softly: Creative and cognitive aspects of implicitness in abusive language online

S Frenda, V Patti, P Rosso - Natural Language Engineering, 2023 - cambridge.org
Abusive language is becoming a problematic issue for our society. The spread of messages
that reinforce social and cultural intolerance could have dangerous effects in victims' life …

A framework to understand attitudes towards immigration through Twitter

Y Freire-Vidal, E Graells-Garrido, F Rowe - Applied Sciences, 2021 - mdpi.com
Understanding public opinion towards immigrants is key to prevent acts of violence,
discrimination and abuse. Traditional data sources, such as surveys, provide rich insights …

“contro l'odio”: A platform for detecting, monitoring and visualizing hate speech against immigrants in Italian social media

ATE Capozzi, M Lai, V Basile… - … . Italian Journal of …, 2020 - journals.openedition.org
The paper describes the Web platform built within the project “Contro l'Odio”, for monitoring
and contrasting discrimination and hate speech against immigrants in Italy. It applies a …

Consumption-based approaches in proactive detection for content moderation

S Elisha, JN Pougué-Biyong, M Beguerisse-Díaz - EPJ Data Science, 2024 - epjds.epj.org
Implementing effective content moderation systems at scale is an unavoidable and complex
challenge facing technology platforms. Develo** systems that automate detection and …

[PDF][PDF] CHILab@ HaSpeeDe 2: Enhancing hate speech detection with part-of-speech tagging

G Gambino, R Pirrone, D Ingegneria - … of NLP and Speech Tools for …, 2020 - core.ac.uk
The present paper describes two neural network systems used for Hate Speech Detection
tasks that make use not only of the pre-processed text but also of its Partof-Speech (PoS) …

Sarcasm and implicitness in abusive language detection: a multilingual perspective

S Frenda - 2022 - iris.unito.it
The possibility to monitor hateful content online on the basis of what people write is
becoming an important topic for several actors such as governments, ICT companies, and …