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 …
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 …
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 …
Prescriptive graph analytics on the digital transformation in healthcare through user-generated content
E Cano-Marin, M Mora-Cantallops… - Annals of Operations …, 2023 - Springer
As they swiftly evolve and become widely adopted, new technologies are fundamentally
transforming the landscape of business models. Digital transformation has become a top …
transforming the landscape of business models. Digital transformation has become a top …
Selecting and combining complementary feature representations and classifiers for hate speech detection
RMO Cruz, WV de Sousa, GDC Cavalcanti - Online Social Networks and …, 2022 - Elsevier
Hate speech is a major issue in social networks due to the high volume of data generated
daily. Recent works demonstrate the usefulness of machine learning (ML) in dealing with the …
daily. Recent works demonstrate the usefulness of machine learning (ML) in dealing with the …
Hate speech detection in Twitter using hybrid embeddings and improved cuckoo search-based neural networks
FE Ayo, O Folorunso, FT Ibharalu… - International Journal of …, 2020 - emerald.com
Purpose Hate speech is an expression of intense hatred. Twitter has become a popular
analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection …
analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection …
Online toxicity against Syrians in Turkish Twitter: Analysis and implications
H Mulki, S Alabdullah, A Halil, N Al-Ali… - International Journal of …, 2023 - ijoc.org
This study examines the portrayal of Syrians on Turkish Twitter between January and August
2021 through a big data analysis of more than 30,000 tweets. We employ the concept of …
2021 through a big data analysis of more than 30,000 tweets. We employ the concept of …
[PDF][PDF] A Literature Review of Textual Hate Speech Detection Methods and Datasets. Information 2022, 13, 273
F Alkomah, X Ma - 2022 - pdfs.semanticscholar.org
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 …
Twitter Hate Speech Detection Based on Deep Learning Methods
F Alkomah - 2023 - search.proquest.com
Hate speech is a toxic discourse that results from prejudices or conflicts between different
groups within and across societies that could lead to episodes that quickly proliferate on …
groups within and across societies that could lead to episodes that quickly proliferate on …
[PDF][PDF] Computer Science Review
abstract 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 …
digital contents. This study provides a survey of machine learning techniques for hate …