Towards generalisable hate speech detection: a review on obstacles and solutions

W Yin, A Zubiaga - PeerJ Computer Science, 2021 - peerj.com
Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …

Evalita 2020: Overview of the 7th evaluation campaign of natural language processing and speech tools for italian

V Basile, M Di Maro, D Croce, L Passaro - CEUR WORKSHOP …, 2020 - arpi.unipi.it
The Evaluation Campaign of Natural Language Processing and Speech Tools for Italian
(EVALITA) is the biennial initiative aimed at promoting the development of language and …

SemEval-2022 Task 5: Multimedia automatic misogyny identification

E Fersini, F Gasparini, G Rizzi, A Saibene… - Proceedings of the …, 2022 - aclanthology.org
The paper describes the SemEval-2022 Task 5: Multimedia Automatic Misogyny
Identification (MAMI), which explores the detection of misogynous memes on the web by …

[HTML][HTML] Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach

J Kocoń, A Figas, M Gruza, D Puchalska… - Information Processing …, 2021 - Elsevier
Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …

Exposing the limits of zero-shot cross-lingual hate speech detection

D Nozza - Proceedings of the 59th Annual Meeting of the …, 2021 - aclanthology.org
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 …

[HTML][HTML] Detecting abusive comments at a fine-grained level in a low-resource language

BR Chakravarthi, R Priyadharshini, S Banerjee… - Natural Language …, 2023 - Elsevier
YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …

[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 …

SWSR: A Chinese dataset and lexicon for online sexism detection

A Jiang, X Yang, Y Liu, A Zubiaga - Online Social Networks and Media, 2022 - Elsevier
Online sexism has become an increasing concern in social media platforms as it has
affected the healthy development of the Internet and can have negative effects in society …

[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models

M Subramanian, VE Sathiskumar… - Alexandria Engineering …, 2023 - Elsevier
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …

Entropy-based attention regularization frees unintended bias mitigation from lists

G Attanasio, D Nozza, D Hovy, E Baralis - arxiv preprint arxiv:2203.09192, 2022 - arxiv.org
Natural Language Processing (NLP) models risk overfitting to specific terms in the training
data, thereby reducing their performance, fairness, and generalizability. Eg, neural hate …