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 …
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 …
Hate speech detection and racial bias mitigation in social media based on BERT model
Disparate biases associated with datasets and trained classifiers in hateful and abusive
content identification tasks have raised many concerns recently. Although the problem of …
content identification tasks have raised many concerns recently. Although the problem of …
Towards generalisable hate speech detection: a review on obstacles and solutions
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 …
towards a group or an individual member based on their actual or perceived aspects of …
Learning from the worst: Dynamically generated datasets to improve online hate detection
We present a human-and-model-in-the-loop process for dynamically generating datasets
and training better performing and more robust hate detection models. We provide a new …
and training better performing and more robust hate detection models. We provide a new …
You only prompt once: On the capabilities of prompt learning on large language models to tackle toxic content
The spread of toxic content online is an important problem that has adverse effects on user
experience online and in our society at large. Motivated by the importance and impact of the …
experience online and in our society at large. Motivated by the importance and impact of the …
[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …
gay, transgender or bisexual people. Studies have shown that these individuals were more …
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 …
Advances in machine learning algorithms for hate speech detection in social media: a review
The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …
speech detection in social media (SM). Hate speech problem is normally model as a text …
Emotionally informed hate speech detection: a multi-target perspective
Hate Speech and harassment are widespread in online communication, due to users'
freedom and anonymity and the lack of regulation provided by social media platforms. Hate …
freedom and anonymity and the lack of regulation provided by social media platforms. Hate …