A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions-Reference-Cited by-同舟云学术

A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions

Published:2024-05-30 Issue:1 Volume:14 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Abdelsamie Mahmoud Mohamed^ORCID,Azab Shahira Shaaban^ORCID,Hefny Hesham A.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13278-024-01258-1.pdf

Reference67 articles.

1. Abbes M, Kechaou Z, Alimi AM (2023) Deep learning approach for Tunisian hate speech detection on Facebook. In 2023 IEEE symposium on computers and communications (ISCC), Gammarth, Tunisia, p 739–744. https://doi.org/10.1109/ISCC58397.2023.10217909

2. AbdelHamid M, Jafar A, Rahal Y (2022) Levantine hate speech detection in twitter. Soc Netw Anal Min. https://doi.org/10.1007/s13278-022-00950-4

3. Abuzayed A (2020) Quick and simple approach for detecting hate speech in Arabic tweets. In: ACL anthology. https://aclanthology.org/2020.osact-1.18/

4. Ahmed I, Abbas M, Hatem R, Ihab A, Fahkr MW (2022) Fine-tuning Arabic pre-trained transformer models for Egyptian-Arabic dialect offensive language and hate speech detection and classification. In: 2022 20th international conference on language engineering (ESOLEC). Cairo, Egypt, p. 170–174. https://doi.org/10.1109/ESOLEC54569.2022.10009167

5. Alakrot A, Murray L, Nikolov NS (2018a) Dataset construction for the detection of anti-social behaviour in online communication in Arabic. Procedia Comput Sci 142:174–181. https://doi.org/10.1016/j.procs.2018.10.473

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