Hate and offensive speech detection on Arabic social media-Reference-Cited by-同舟云学术

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Hate and offensive speech detection on Arabic social media

Published:2020-09 Issue: Volume:19 Page:100096
ISSN:2468-6964
Container-title:Online Social Networks and Media
language:en
Short-container-title:Online Social Networks and Media

Author:

Alsafari Safa,Sadaoui Samira,Mouhoub Malek

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Communication,Information Systems

Reference28 articles.

1. Benchmarking Aggression Identification in Social Media, Proc. First Work. Trolling, Aggress. Cyberbullying;Kumar,2018

2. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter;Basile,2019

3. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval);Zampieri,2019

4. Cyberhate on Social Media in the aftermath of Woolwich: A Case Study in Computational Criminology and Big Data;Williams;Br. J. Criminol.,2016

5. Abusive language detection in online user content, 25th Int. World Wide Web Conf. WWW 2016.;Nobata,2016

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1. Abusive and Hate speech Classification in Arabic Text Using Pre-trained Language Models and Data Augmentation;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-03

2. Comparing Pre-trained Language Model for Arabic Hate Speech Detection;Computación y Sistemas;2024-06-29

3. Systematic Investigation of Recent Pre-trained Language Model for Hate Speech Detection in Arabic Tweets;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-06-25

4. Detection of Arabic offensive language in social media using machine learning models;Intelligent Systems with Applications;2024-06

5. A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions;Social Network Analysis and Mining;2024-05-30

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