A systematic review of machine learning algorithms in cyberbullying detection: future directions and challenges

M Arif - Journal of Information Security and Cybercrimes …, 2021 - journals.nauss.edu.sa
Social media networks are becoming an essential part of life for most of the world's
population. Detecting cyberbullying using machine learning and natural language …

Cyberbullying detection and machine learning: a systematic literature review

V Balakrisnan, M Kaity - Artificial Intelligence Review, 2023 - Springer
The rise in research work focusing on detection of cyberbullying incidents on social media
platforms particularly reflect how dire cyberbullying consequences are, regardless of age …

[HTML][HTML] Cyberbullying detection framework for short and imbalanced Arabic datasets

M Alzaqebah, GM Jaradat, D Nassan… - Journal of King Saud …, 2023 - Elsevier
Cyberbullying detection has attracted many researchers to detect negative comments
deployed on communication platforms as cyberbullying can take many forms: verbal …

Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature

A Balayn, J Yang, Z Szlavik, A Bozzon - ACM Transactions on Social …, 2021 - dl.acm.org
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …

Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online

A Marshan, FNM Nizar, A Ioannou… - Information Systems …, 2023 - Springer
Social media platforms have become an increasingly popular tool for individuals to share
their thoughts and opinions with other people. However, very often people tend to misuse …

Smart policing technique with crime type and risk score prediction based on machine learning for early awareness of risk situation

MS Baek, W Park, J Park, KH Jang, YT Lee - IEEE Access, 2021 - ieeexplore.ieee.org
In order to quickly and effectively respond to a newly received criminal case, information
regarding the type and severity of the case is crucial for authorities. This paper designs and …

Taxonomy of cyberbullying detection and prediction techniques in online social networks

M Vyawahare, M Chatterjee - … and Networks: Proceedings of GUCON 2019, 2020 - Springer
Online social networking sites have become very popular in this era due to easy
accessibility of Internet. This popularity leads to continuous availability of multiple users …

Cyberbullying and cyberviolence detection: A triangular user-activity-content view

S Wang, X Zhu, W Ding… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Recent years have witnessed the increasing popularity of mobile and networking devices,
as well as social networking sites, where users engage in a variety of activities in the …

Benchmarking language models for cyberbullying identification and classification from social-media texts

K Verma, T Milosevic, K Cortis… - Proceedings of the First …, 2022 - aclanthology.org
Cyberbullying is bullying perpetrated via the medium of modern communication
technologies like social media networks and gaming platforms. Unfortunately, most existing …

Multi-modal detection of cyberbullying on Twitter

J Qiu, M Moh, TS Moh - Proceedings of the 2022 ACM Southeast …, 2022 - dl.acm.org
Cyberbullying detection is one of the trending topics of research in recent years, due to the
popularity of social media and the lack of limitations about using electronic communications …