[HTML][HTML] Resources and benchmark corpora for hate speech detection: a systematic review
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 …
gained significant traction in the Natural Language Processing community, as attested by …
[HTML][HTML] A literature review of textual hate speech detection methods and datasets
F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …
communities. Hate speech is complex and multifaceted harmful or offensive content …
Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Majority voting and averaging are common approaches used to resolve annotator
disagreements and derive single ground truth labels from multiple annotations. However …
disagreements and derive single ground truth labels from multiple annotations. However …
A literature survey on multimodal and multilingual automatic hate speech identification
A Chhabra, DK Vishwakarma - Multimedia Systems, 2023 - Springer
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Deep learning models for multilingual hate speech detection
Hate speech detection is a challenging problem with most of the datasets available in only
one language: English. In this paper, we conduct a large scale analysis of multilingual hate …
one language: English. In this paper, we conduct a large scale analysis of multilingual hate …
Detecting misogyny in Spanish tweets. An approach based on linguistics features and word embeddings
JA García-Díaz, M Cánovas-García… - Future Generation …, 2021 - Elsevier
Online social networks allow powerless people to gain enormous amounts of control over
particular people's lives and profit from the anonymity or social distance that the Internet …
particular people's lives and profit from the anonymity or social distance that the Internet …
Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions
Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …
contents. This study provides a survey of machine learning techniques for hate speech …
A multi-task learning approach to hate speech detection leveraging sentiment analysis
FM Plaza-Del-Arco, MD Molina-González… - IEEE …, 2021 - ieeexplore.ieee.org
The rise of social media platforms has significantly changed the way our world
communicates, and part of those changes includes a rise in inappropriate behaviors, such …
communicates, and part of those changes includes a rise in inappropriate behaviors, such …
[HTML][HTML] Evaluating feature combination strategies for hate-speech detection in spanish using linguistic features and transformers
JA García-Díaz, SM Jiménez-Zafra… - Complex & Intelligent …, 2023 - Springer
The rise of social networks has allowed misogynistic, xenophobic, and homophobic people
to spread their hate-speech to intimidate individuals or groups because of their gender …
to spread their hate-speech to intimidate individuals or groups because of their gender …
Deep learning for hate speech detection: a comparative study
Automated hate speech detection is an important tool in combating the spread of hate
speech, particularly in social media. Numerous methods have been developed for the task …
speech, particularly in social media. Numerous methods have been developed for the task …