A literature review of textual hate speech detection methods and datasets

F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

Explainable AI: current status and future directions

P Gohel, P Singh, M Mohanty - ar** an online hate classifier for multiple social media platforms
J Salminen, M Hopf, SA Chowdhury, S Jung… - … -centric Computing and …, 2020 - Springer
The proliferation of social media enables people to express their opinions widely online.
However, at the same time, this has resulted in the emergence of conflict and hate, making …

Improving cyberbullying detection using Twitter users' psychological features and machine learning

V Balakrishnan, S Khan, HR Arabnia - Computers & Security, 2020 - Elsevier
Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …

Understanding the effect of deplatforming on social networks

S Ali, MH Saeed, E Aldreabi, J Blackburn… - Proceedings of the 13th …, 2021 - dl.acm.org
Aiming to enhance the safety of their users, social media platforms enforce terms of service
by performing active moderation, including removing content or suspending users …

Automatic detection of cyberbullying in social media text

C Van Hee, G Jacobs, C Emmery, B Desmet, E Lefever… - PloS one, 2018 - journals.plos.org
While social media offer great communication opportunities, they also increase the
vulnerability of young people to threatening situations online. Recent studies report that …

Automatic cyberbullying detection: A systematic review

H Rosa, N Pereira, R Ribeiro, PC Ferreira… - Computers in Human …, 2019 - Elsevier
Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …

Addressing unintended bias in toxicity detection: An lstm and attention-based approach

W Dai, J Tao, X Yan, Z Feng… - 2023 5th International …, 2023 - ieeexplore.ieee.org
In the digital era, online platforms serve as crucial hubs for social interactions and idea
exchange. However, these platforms are continually shadowed by toxic comments that …