Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

T Mahmud, M Ptaszynski, J Eronen, F Masui - Information Processing & …, 2023 - Elsevier
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

The use of a large language model for cyberbullying detection

B Ogunleye, B Dharmaraj - Analytics, 2023 - mdpi.com
The dominance of social media has added to the channels of bullying for perpetrators.
Unfortunately, cyberbullying (CB) is the most prevalent phenomenon in today's cyber world …

Addressing cyberbullying in Urdu tweets: a comprehensive dataset and detection system

F Adeeba, MI Yousuf, I Anwer, SU Tariq… - PeerJ Computer …, 2024 - peerj.com
The prevalence of cyberbullying has reached an alarming rate, affecting approximately 54%
of teenagers who experience various forms of cyberbullying, including offensive hate …

[PDF][PDF] Improving Cyberbullying Detection Through Adaptive External Dictionary in Machine Learning

H Qudah, MA Alhija, H Tarawneh - 2023 - assets-eu.researchsquare.com
Cyberbullying has escalated due to social media's rapid growth, endangering internet
security. Correct these harmful habits. ML is used to research cyberbullying on Twitter. This …

Machine Learning and Its Application in Educational Area

A Tripathi, Y Singh, A Sharma… - Meta Heuristic …, 2024 - Wiley Online Library
Machine learning (ML) is used for advancement of various fields which is also applicable to
education system which will change learning and teaching methods fundamentally. As …

Explainable Artificial Intelligence for Combating Cyberbullying

SG Tesfagergish, R Damaševičius - … Conference on Soft Computing and its …, 2023 - Springer
Cyberbullying has become a serious societal issue that affects millions of people globally,
particularly the younger generation. Although existing machine learning and artificial …

Hate Speech Detection in Roman Urdu using Machine Learning Techniques

S Nasir, A Seerat, M Wasim - 2024 5th International …, 2024 - ieeexplore.ieee.org
In recent years, the spread of hate speech on social media has been a major source of
discomfort. Hate speech may be extremely harmful, resulting in violence, discrimination, and …

[PDF][PDF] The Use of a Large Language Model for Cyberbullying Detection. Analytics 2023, 2, 694–707

B Ogunleye, B Dharmaraj - 2023 - academia.edu
The dominance of social media has added to the channels of bullying for perpetrators.
Unfortunately, cyberbullying (CB) is the most prevalent phenomenon in today's cyber world …

An Deep Convolutional Neural Networks are used to Detect Cyberbullying on Social Networks.

BS Rawat - 2023 4th IEEE Global Conference for Advancement …, 2023 - ieeexplore.ieee.org
The ramifications of cyberbullying, a horrific kind of inappropriate conduct that may take
place online, are upsetting. Speech is the most common form of expression in social …

Evaluating the Impact of Adaptive External Dictionaries on Cyberbullying Detection using Machine Learning: A Review

H Jehad, MA Alhija, H Tarawneh - 2023 - researchsquare.com
Cyberbullying has escalated due to social media's rapid growth, endangering internet
security. Correct these harmful habits. ML is used to research cyberbullying on Twitter. This …