research-article

A Survey of Offensive Language Detection for the Arabic Language

Authors:

Fatemah Husain,

Ozlem UzunerAuthors Info & Claims

ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 20, Issue 1

Article No.: 12, Pages 1 - 44

https://doi.org/10.1145/3421504

Published: 09 March 2021 Publication History

Abstract

The use of offensive language in user-generated content is a serious problem that needs to be addressed with the latest technology. The field of Natural Language Processing (NLP) can support the automatic detection of offensive language. In this survey, we review previous NLP studies that cover Arabic offensive language detection. This survey investigates the state-of-the-art in offensive language detection for the Arabic language, providing a structured overview of previous approaches, including core techniques, tools, resources, methods, and main features used. This work also discusses the limitations and gaps of the previous studies. Findings from this survey emphasize the importance of investing further effort in detecting Arabic offensive language, including the development of benchmark resources and the invention of novel preprocessing and feature extraction techniques.

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Cited By

Ahmad AAzzeh MAlnagi EAbu Al-Haija QHalabi DAref AAbuHour Y(2024)Hate speech detection in the Arabic language: corpus design, construction, and evaluationFrontiers in Artificial Intelligence10.3389/frai.2024.13454457Online publication date: 20-Feb-2024
https://doi.org/10.3389/frai.2024.1345445
Bensalem IRosso PZitouni H(2024)Toxic language detection: A systematic review of Arabic datasetsExpert Systems10.1111/exsy.13551Online publication date: 30-Jan-2024
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Index Terms

A Survey of Offensive Language Detection for the Arabic Language
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Information extraction

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cover image ACM Transactions on Asian and Low-Resource Language Information Processing

ACM Transactions on Asian and Low-Resource Language Information Processing Volume 20, Issue 1

Special issue on Deep Learning for Low-Resource Natural Language Processing, Part 1 and Regular Papers

January 2021

332 pages

ISSN:2375-4699

EISSN:2375-4702

DOI:10.1145/3439335

Editor:
Imed Zitouni
Google, USA

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Publication History

Published: 09 March 2021

Accepted: 01 August 2020

Revised: 01 August 2020

Received: 01 May 2020

Published in TALLIP Volume 20, Issue 1

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Ahmad AAzzeh MAlnagi EAbu Al-Haija QHalabi DAref AAbuHour Y(2024)Hate speech detection in the Arabic language: corpus design, construction, and evaluationFrontiers in Artificial Intelligence10.3389/frai.2024.13454457Online publication date: 20-Feb-2024
https://doi.org/10.3389/frai.2024.1345445
Bensalem IRosso PZitouni H(2024)Toxic language detection: A systematic review of Arabic datasetsExpert Systems10.1111/exsy.13551Online publication date: 30-Jan-2024
https://doi.org/10.1111/exsy.13551
Husain FAlostad HOmar H(2024)Bridging the Kuwaiti Dialect Gap in Natural Language ProcessingIEEE Access10.1109/ACCESS.2024.336436712(27709-27722)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3364367
Abdelsamie MAzab SHefny H(2024)A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutionsSocial Network Analysis and Mining10.1007/s13278-024-01258-114:1Online publication date: 30-May-2024
https://doi.org/10.1007/s13278-024-01258-1
Awajan A(2024)Offensive Language Detection from Arabic TextsIntelligent Computing10.1007/978-3-031-62269-4_6(77-91)Online publication date: 21-Jun-2024
https://doi.org/10.1007/978-3-031-62269-4_6
Fkih FMoulahi TAlabdulatif A(2023)Machine Learning Model for Offensive Speech Detection in Online Social Networks Slang ContentWSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS10.37394/23209.2023.20.220(7-15)Online publication date: 17-Jan-2023
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Alzu’bi ABani Younis LAbuarqoub AHammoudeh M(2023)Multimodal Deep Learning with Discriminant Descriptors for Offensive Memes DetectionJournal of Data and Information Quality10.1145/359730815:3(1-16)Online publication date: 28-Sep-2023
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Prabadevi BDeepa NGanesan KSrivastava G(2023)A Decision Model for Ranking Asian Higher Education Institutes Using an NLP-Based Text Analysis ApproachACM Transactions on Asian and Low-Resource Language Information Processing10.1145/353456222:3(1-20)Online publication date: 10-Mar-2023
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