A review on abusive content automatic detection: approaches, challenges and opportunities
The increasing use of social media has led to the emergence of a new challenge in the form of abusive content. There are many forms of abusive content such as hate speech, cyberbullying, offensive language, and abusive language. This article will present a review of abusive content automatic detecti...
Main Authors: | Bedour Alrashidi, Amani Jamal, Imtiaz Khan, Ali Alkhathlan |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2022-11-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1142.pdf |
Similar Items
-
Abusive Content Detection in Arabic Tweets Using Multi-Task Learning and Transformer-Based Models
by: Bedour Alrashidi, et al.
Published: (2023-05-01) -
Hate speech and abusive language detection in Indonesian social media: Progress and challenges
by: Muhammad Okky Ibrohim, et al.
Published: (2023-08-01) -
Expert-Annotated Dataset to Study Cyberbullying in Polish Language
by: Michal Ptaszynski, et al.
Published: (2023-12-01) -
Hate speech detection in the Arabic language: corpus design, construction, and evaluation
by: Ashraf Ahmad, et al.
Published: (2024-02-01) -
A Deep Learning Approach for Automatic Hate Speech Detection in the Saudi Twittersphere
by: Raghad Alshalan, et al.
Published: (2020-12-01)