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 …
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 …
Detecting formal thought disorder by deep contextualized word representations
J Sarzynska-Wawer, A Wawer, A Pawlak… - Psychiatry …, 2021 - Elsevier
Computational linguistics has enabled the introduction of objective tools that measure some
of the symptoms of schizophrenia, including the coherence of speech associated with formal …
of the symptoms of schizophrenia, including the coherence of speech associated with formal …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
A multilingual evaluation for online hate speech detection
The increasing popularity of social media platforms such as Twitter and Facebook has led to
a rise in the presence of hate and aggressive speech on these platforms. Despite the …
a rise in the presence of hate and aggressive speech on these platforms. Despite the …
Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments
Abstract The spread of Hate Speech on online platforms is a severe issue for societies and
requires the identification of offensive content by platforms. Research has modeled Hate …
requires the identification of offensive content by platforms. Research has modeled Hate …
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 …
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 …
the proposed automatic methods are conducted exclusively on English and very few …
Deep learning in sentiment analysis: Recent architectures
T Abdullah, A Ahmet - ACM Computing Surveys, 2022 - dl.acm.org
Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …
unstructured opinionated data. Accurately analysing subjective information from this data is …
[HTML][HTML] Data expansion using back translation and paraphrasing for hate speech detection
With proliferation of user generated contents in social media platforms, establishing
mechanisms to automatically identify toxic and abusive content becomes a prime concern …
mechanisms to automatically identify toxic and abusive content becomes a prime concern …